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Advances in Neural Networks – ISNN 2014 [[electronic resource] ] : 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- December 1, 2014. Proceedings / / edited by Zhigang Zeng, Yangmin Li, Irwin King
| Advances in Neural Networks – ISNN 2014 [[electronic resource] ] : 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- December 1, 2014. Proceedings / / edited by Zhigang Zeng, Yangmin Li, Irwin King |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVI, 649 p. 237 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Data mining Artificial intelligence Computer vision Algorithms Neural networks (Computer science) Automated Pattern Recognition Data Mining and Knowledge Discovery Artificial Intelligence Computer Vision Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 3-319-12436-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis -- A Less Conservative Guaranteed Cost Stabilization of Time-varying Delayed CNNs -- Existence and Uniqueness of almost Automorphic Solutions to Cohen-Grossberg Neural Networks with Delays -- A Proof of a Key Formula in the Error-backpropagation Learning Algorithm for Multiple Spiking Neural Networks -- Anti-Synchronization Control for Memristor-Based Recurrent Neural Networks -- Adaptive Pinning Synchronization of Coupled Inertial Delayed Neural Networks -- The Relationship between Neural Avalanches and Neural Oscillations -- Reinforcement-Learning-Based Controller Design for Nonafine Nonlinear Systems -- Multistability and Multiperiodicity Analysis of Complex-valued Neural Networks -- Exponential Synchronization of Coupled Stochastic and Switched Neural Networks with Impulsive Effects -- The Research of Building Indoor Temperature Prediction Based on Support Vector Machine -- Towards the Computation of A Nash Equilibrium -- Sensorless PMSM Speed Control Based on NN Adaptive System Observer -- Neural-Network-Based Adaptive Fault Estimation for a Class of Interconnected Nonlinear System with Triangular Forms -- Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition -- CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication -- Lazy Fully Probabilistic Design of Decision Strategies -- Memristive Radial Basis Function Neural Network for Parameters Adjustment of PID Controller -- Finite-Time Stability of Switched Static Neural Networks -- Fixed-priority Scheduling Policies and their Non-utilization Bounds -- Modeling Dynamic Hysteresis of Smart Actuators with Fuzzy Tree -- Neurodynamics-based Model Predictive Control for Trajectory Tracking of Autonomous Underwater Vehicles -- Feedback-Dependence of Correlated Firing in Globally Coupled Networks -- Wilcox on-Norm-Based Robust Extreme Learning Machine -- Modeling -- An Artificial Synaptic Plasticity Mechanism for Classical Conditioning with Neural Networks -- An Application of Dynamic Regression Model and Residual Auto-regressive Model in Time Series -- Reweighted l2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning -- Perceptual Learning Model on Recognizing Chinese Characters -- Hierarchical Solving Method for Large Scale TSP Problems -- Gaussian Process Learning: A Divide-and-Conquer Approach -- A Kernel ELM Classifier for High-resolution Remotely Sensed Imagery Based on Multiple Features -- Early-Stopping Regularized Least-Squares Classification -- Z-Type Model for Real-Time Solution of Complex ZLE -- A Dynamic Generation Approach for Ensemble of Extreme Learning Machines -- Saliency Detection: A Divisive Normalization Approach -- A Novel Neural Network Based Adaptive Control for A Class of Uncertain Strict-Feedback Nonlinear Systems -- Rough Sets Theory Approach to Extenics Risk Assessment Model in Social Risk -- Kernel Parameter Optimization for KFDA Based on Maximum Margin Criterion -- A Polynomial Time Solvable Algorithm to Binary Quadratic Programming Problems with Q being a Seven-Diagonal Matrix and its Neural Network Implementation -- A New Nonlinear Neural Network for Solving QP Problems -- Untrained Method for Ensemble Pruning and Weighted Combination -- An Improved Learning Algorithm with Tunable Kernels for Complex-Valued Radial Basis Function Neural Networks -- Combined Methodology Based on Kernel Regression and Kernel Density Estimation for Sign Language Machine Translation -- Adaptive Intelligent Control for Continuous Stirred Tank Reactor with Output Constraint -- Applications -- Modeling and Application of Principal Component Analysis in Industrial Boiler -- An Orientation Column-inspired Contour Representation and its Application in Shape-based Recognition -- Region Based Image Preprocessor for Feed-Forward Perception Based Systems -- Image Denoising with Signal Dependent Noise using Block Matching and 3D Filtering -- Different-Level Simultaneous Minimization with Aid of Ma Equivalence for Robotic Redundancy Resolution -- Content-Adaptive Rain and Snow Removal Algorithms for Single Image -- Data-Driven Bridge Detection in Compressed Domain from Panchromatic Satellite Imagery -- Fast Nonnegative Tensor Factorization By Using Accelerated Proximal Gradient -- Multiclassifier System with Fuzzy Inference Method Applied to the Recognition of Biosignals in the Control of Bioprosthetic Hand -- Target Detection Using Radar in Heavy Sea Clutter by Polarimetric Analysis and Neural Network -- Human Action Recognition Based on Difference Silhouette and Static Reservoir -- Metric-Based Multi-Task Grouping Neural Network for Traffic Flow.-Forecasting -- Object Tracking with A Novel Method Based on FS-CBWH within Mean-Shift Framework -- Bayesian Covariance Tracking with Adaptive Feature Selection -- Single-Trial Detection of Error-Related Potential by One-Unit SOBI-R in SSVEP-based BCI -- Generalized Regression Neural Networks with K-Fold Cross-Validation for Displacement of Landslide Forecasting -- One-Class Classification Ensemble with Dynamic Classifier Selection -- A Massive Sensor Data Streams Multi-dimensional Analysis Strategy -- Using Progressive Logarithmic Tilted Time Frame for Cloud-Based Monitoring Application -- Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns -- Fast and Effective Image Segmentation via Superpixels and Adaptive Thresholding -- Diagonal Log-normal Generalized RBF Neural Network for Stock Price Prediction -- Design of a Greedy V2G Coordinator Achieving Microgrid-level Load Shift -- PolSAR Image Segmentation Based on the Modified Non-negative -- Matrix Factorization and Support Vector Machine -- Solving Path Planning of UAV Based on Modified Multi-Population Differential Evolution Algorithm -- Consensus for Higher-order Multi-agent Networks with External Disturbances -- The Research of Document Clustering Topical Concept Based on Neural Networks -- The Research of Reducing Misregistration Based on Image Mosaicing -- A Parallel Image Segmentation Method Based on SOM and GPU with Application to MRI Image Processing. |
| Record Nr. | UNISA-996210539503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Neural Networks – ISNN 2014 : 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- December 1, 2014. Proceedings / / edited by Zhigang Zeng, Yangmin Li, Irwin King
| Advances in Neural Networks – ISNN 2014 : 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- December 1, 2014. Proceedings / / edited by Zhigang Zeng, Yangmin Li, Irwin King |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVI, 649 p. 237 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Data mining Artificial intelligence Computer vision Algorithms Neural networks (Computer science) Automated Pattern Recognition Data Mining and Knowledge Discovery Artificial Intelligence Computer Vision Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 3-319-12436-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis -- A Less Conservative Guaranteed Cost Stabilization of Time-varying Delayed CNNs -- Existence and Uniqueness of almost Automorphic Solutions to Cohen-Grossberg Neural Networks with Delays -- A Proof of a Key Formula in the Error-backpropagation Learning Algorithm for Multiple Spiking Neural Networks -- Anti-Synchronization Control for Memristor-Based Recurrent Neural Networks -- Adaptive Pinning Synchronization of Coupled Inertial Delayed Neural Networks -- The Relationship between Neural Avalanches and Neural Oscillations -- Reinforcement-Learning-Based Controller Design for Nonafine Nonlinear Systems -- Multistability and Multiperiodicity Analysis of Complex-valued Neural Networks -- Exponential Synchronization of Coupled Stochastic and Switched Neural Networks with Impulsive Effects -- The Research of Building Indoor Temperature Prediction Based on Support Vector Machine -- Towards the Computation of A Nash Equilibrium -- Sensorless PMSM Speed Control Based on NN Adaptive System Observer -- Neural-Network-Based Adaptive Fault Estimation for a Class of Interconnected Nonlinear System with Triangular Forms -- Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition -- CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication -- Lazy Fully Probabilistic Design of Decision Strategies -- Memristive Radial Basis Function Neural Network for Parameters Adjustment of PID Controller -- Finite-Time Stability of Switched Static Neural Networks -- Fixed-priority Scheduling Policies and their Non-utilization Bounds -- Modeling Dynamic Hysteresis of Smart Actuators with Fuzzy Tree -- Neurodynamics-based Model Predictive Control for Trajectory Tracking of Autonomous Underwater Vehicles -- Feedback-Dependence of Correlated Firing in Globally Coupled Networks -- Wilcox on-Norm-Based Robust Extreme Learning Machine -- Modeling -- An Artificial Synaptic Plasticity Mechanism for Classical Conditioning with Neural Networks -- An Application of Dynamic Regression Model and Residual Auto-regressive Model in Time Series -- Reweighted l2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning -- Perceptual Learning Model on Recognizing Chinese Characters -- Hierarchical Solving Method for Large Scale TSP Problems -- Gaussian Process Learning: A Divide-and-Conquer Approach -- A Kernel ELM Classifier for High-resolution Remotely Sensed Imagery Based on Multiple Features -- Early-Stopping Regularized Least-Squares Classification -- Z-Type Model for Real-Time Solution of Complex ZLE -- A Dynamic Generation Approach for Ensemble of Extreme Learning Machines -- Saliency Detection: A Divisive Normalization Approach -- A Novel Neural Network Based Adaptive Control for A Class of Uncertain Strict-Feedback Nonlinear Systems -- Rough Sets Theory Approach to Extenics Risk Assessment Model in Social Risk -- Kernel Parameter Optimization for KFDA Based on Maximum Margin Criterion -- A Polynomial Time Solvable Algorithm to Binary Quadratic Programming Problems with Q being a Seven-Diagonal Matrix and its Neural Network Implementation -- A New Nonlinear Neural Network for Solving QP Problems -- Untrained Method for Ensemble Pruning and Weighted Combination -- An Improved Learning Algorithm with Tunable Kernels for Complex-Valued Radial Basis Function Neural Networks -- Combined Methodology Based on Kernel Regression and Kernel Density Estimation for Sign Language Machine Translation -- Adaptive Intelligent Control for Continuous Stirred Tank Reactor with Output Constraint -- Applications -- Modeling and Application of Principal Component Analysis in Industrial Boiler -- An Orientation Column-inspired Contour Representation and its Application in Shape-based Recognition -- Region Based Image Preprocessor for Feed-Forward Perception Based Systems -- Image Denoising with Signal Dependent Noise using Block Matching and 3D Filtering -- Different-Level Simultaneous Minimization with Aid of Ma Equivalence for Robotic Redundancy Resolution -- Content-Adaptive Rain and Snow Removal Algorithms for Single Image -- Data-Driven Bridge Detection in Compressed Domain from Panchromatic Satellite Imagery -- Fast Nonnegative Tensor Factorization By Using Accelerated Proximal Gradient -- Multiclassifier System with Fuzzy Inference Method Applied to the Recognition of Biosignals in the Control of Bioprosthetic Hand -- Target Detection Using Radar in Heavy Sea Clutter by Polarimetric Analysis and Neural Network -- Human Action Recognition Based on Difference Silhouette and Static Reservoir -- Metric-Based Multi-Task Grouping Neural Network for Traffic Flow.-Forecasting -- Object Tracking with A Novel Method Based on FS-CBWH within Mean-Shift Framework -- Bayesian Covariance Tracking with Adaptive Feature Selection -- Single-Trial Detection of Error-Related Potential by One-Unit SOBI-R in SSVEP-based BCI -- Generalized Regression Neural Networks with K-Fold Cross-Validation for Displacement of Landslide Forecasting -- One-Class Classification Ensemble with Dynamic Classifier Selection -- A Massive Sensor Data Streams Multi-dimensional Analysis Strategy -- Using Progressive Logarithmic Tilted Time Frame for Cloud-Based Monitoring Application -- Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns -- Fast and Effective Image Segmentation via Superpixels and Adaptive Thresholding -- Diagonal Log-normal Generalized RBF Neural Network for Stock Price Prediction -- Design of a Greedy V2G Coordinator Achieving Microgrid-level Load Shift -- PolSAR Image Segmentation Based on the Modified Non-negative -- Matrix Factorization and Support Vector Machine -- Solving Path Planning of UAV Based on Modified Multi-Population Differential Evolution Algorithm -- Consensus for Higher-order Multi-agent Networks with External Disturbances -- The Research of Document Clustering Topical Concept Based on Neural Networks -- The Research of Reducing Misregistration Based on Image Mosaicing -- A Parallel Image Segmentation Method Based on SOM and GPU with Application to MRI Image Processing. |
| Record Nr. | UNINA-9910483660903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
| Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXVI, 687 p. 268 illus.) : online resource |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Computer vision Mathematical models Algorithms Theory of Computation Artificial Intelligence Automated Pattern Recognition Computer Vision Mathematical Modeling and Industrial Mathematics |
| ISBN | 3-642-39065-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational Neuroscience and Cognitive Science -- Information Transfer Characteristic in Memristic Neuromorphic Network -- Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model -- A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem -- Spike Train Pattern and Firing Synchronization in a Model of the Olfactory Mitral Cell -- Efficiency Improvements for Fuzzy Associative Memory -- A Study of Neural Mechanism in Emotion Regulation by Simultaneous Recording of EEG and fMRI Based on ICA -- Emotion Cognitive Reappraisal Research Based on Simultaneous Recording of EEG and BOLD Responses -- Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks -- Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure -- A Study on Dynamic Characteristics of the Hippocampal Two-Dimension Reduced Neuron Model under Current Conductance Changes -- Neural Network Models, Learning Algorithms, Stability and Convergence Analysis -- Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method -- Generalized Single-Hidden Layer Feedforward Networks -- An Approach for Designing Neural Cryptography -- Bifurcation of a Discrete-Time Cohen-Grossberg-Type BAM Neural Network with Delays -- Stability Criteria for Uncertain Linear Systems with Time-Varying Delay -- Generalized Function Projective Lag Synchronization between Two Different Neural Networks -- Application of Local Activity Theory of CNN to the Coupled Autocatalator Model -- Passivity Criterion of Stochastic T-S Fuzzy Systems with Time-Varying Delays -- Parallel Computation of a New Data Driven Algorithm for Training Neural Networks -- Stability Analysis of a Class of High Order Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays and Reaction-Diffusion Terms -- A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression -- Stability of Nonnegative Periodic Solutions of High-Ordered Neural Networks -- Existence of Periodic Solution for Competitive Neural Networks with Time-Varying and Distributed Delays on Time Scales -- Global Exponential Stability in the Mean Square of Stochastic Cohen-Grossberg Neural Networks with Time-Varying and Continuous Distributed Delays -- A Delay-Partitioning Approach to Stability Analysis of Discrete-Time Recurrent Neural Networks with Randomly Occurred Nonlinearities -- The Universal Approximation Capabilities of Mellin Approximate Identity Neural Networks -- H∞ Filtering of Markovian Jumping Neural Networks with Time Delays -- Convergence Analysis for Feng’s MCA Neural Network Learning Algorithm -- Anti-periodic Solutions for Cohen-Grossberg Neural Networks with Varying-Time Delays and Impulses -- Global Robust Exponential Stability in Lagrange Sense for Interval Delayed Neural Networks -- The Binary Output Units of Neural Network -- Kernel Methods, Large Margin Methods and SVM -- Support Vector Machine with Customized Kernel -- Semi-supervised Kernel Minimum Squared Error Based on Manifold Structure -- Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA: A Monte Carlo Simulation Study -- SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples -- Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection -- Aeroengine Turbine Exhaust Gas Temperature Prediction Using Process Support Vector Machines -- The Effect of Lateral Inhibitory Connections in Spatial Architecture Neural Network -- Empirical Mode Decomposition Based LSSVM for Ship Motion Prediction -- Optimization Algorithms / Variational Methods -- Optimal Calculation of Tensor Learning Approaches -- Repeatable Optimization Algorithm Based Discrete PSO for Virtual Network Embedding -- An Energy-Efficient Coverage Optimization Method for the Wireless Sensor Networks Based on Multi-objective Quantum-Inspired Cultural Algorithm -- Artificial Bee Colony Algorithm for Modular Neural Network -- An Intelligent Optimization Algorithm for Power Control in Wireless Communication Systems -- Optimized Neural Network Ensemble by Combination of Particle Swarm Optimization and Differential Evolution -- Feature Analysis, Clustering, Pattern Recognition and Classification -- SOR Based Fuzzy K-Means Clustering Algorithm for Classification of Remotely Sensed Images -- UMPCA Based Feature Extraction for ECG -- Genetic Algorithm Based Neural Network for License Plate Recognition -- Optimizing Fuzzy ARTMAP Ensembles Using Hierarchical Parallel Genetic Algorithms and Negative Correlation -- Improvement of Panchromatic IKONOS Image Classification Based on Structural Neural Network -- Local Feature Coding for Action Recognition Using RGB-D Camera -- Circular Projection for Pattern Recognition -- A Tensor Factorization Based Least Squares Support Tensor Machine for Classification -- A Remote Sensing Image Classification Method Based on Extreme Learning Machine Ensemble -- Model Identification of an Unmanned Helicopter Using ELSSVM -- A Feature Point Clustering Algorithm Based on GG-RNN -- Local Fisher Discriminant Analysis with Locally Linear Embedding Affinity Matrix -- A Facial Expression Recognition Method by Fusing Multiple Sparse Representation Based Classifiers -- Image Data Classification Using Fuzzy c-Means Algorithm with Different Distance Measures -- Global Matching to Enhance the Strength of Local Intensity Order Pattern Feature Descriptor -- An Approach of Power Quality Disturbances Recognition Based on EEMD and Probabilistic Neural Network -- Chinese Text Classification Based on Neural Network -- The Angular Integral of the Radon Transform (aniRT) as a Feature Vector in Categorization of Visual Objects -- A Fast Algorithm for Clustering with MapReduce -- Gaussian Message Propagation in d-order Neighborhood for Gaussian Graphical Model -- Fast Image Classification Algorithms Based on Random Weights Networks -- A Convolutional Neural Network for Pedestrian Gender Recognition -- The Novel Seeding-Based Semi-supervised Fuzzy Clustering Algorithm Inspired by Diffusion Processes -- Fault Detection for Nonlinear Discrete-Time Systems via Deterministic Learning -- Loose Particle Classification Using a New Wavelet Fisher Discriminant Method -- L1 Graph Based on Sparse Coding for Feature Selection -- Vision Modeling and Image Processing -- An Image Segmentation Method for Maize Disease Based on IGA-PCNN -- A Vector Quantization Approach for Image Segmentation Based on SOM Neural Network -- A Fast Approximate Sparse Coding Networks and Application to Image Denoising -- Residual Image Compensations for Enhancement of High-Frequency Components in Face Hallucination -- Recognition Approach of Human Motion with Micro-accelerometer Based on PCA-BP Neural Network Algorithm -- A Stable Dual Purpose Adaptive Algorithm for Subspace Tracking on Noncompact Stiefel Manifold -- Invariant Object Recognition Using Radon and Fourier Transforms -- An Effective Method for Signal Extraction from Residual Image, with Application to Denoising Algorithms -- Visual Attention Computational Model Using Gabor Decomposition and 2D Entropy -- Human Detection Algorithm Based on Bispectrum Analysis for IR-UWB Radar. |
| Record Nr. | UNISA-996465968803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part II / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
| Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part II / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXVI, 653 p. 234 illus.) : online resource |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Computer vision Mathematical models Algorithms Theory of Computation Artificial Intelligence Automated Pattern Recognition Computer Vision Mathematical Modeling and Industrial Mathematics |
| ISBN | 3-642-39068-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Control, Robotics and Hardware -- Optimal Tracking Control Scheme for Discrete-Time Nonlinear Systems with Approximation Errors -- Distributed Output Feedback Tracking Control of Uncertain Nonlinear Multi-Agent Systems with Unknown Input of Leader -- Quadrotor Flight Control Parameters Optimization Based on Chaotic Estimation of Distribution Algorithm -- Stability Analysis on Pattern-Based NN Control Systems -- Observer-Based H∞ Fuzzy Control for T-S Fuzzy Neural Networks with Random Data Losses -- Robust Adaptive Neural Network Control for Wheeled Inverted Pendulum with Input Saturation -- An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples -- On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems -- Adaptive NN Control for a Class of Strict-Feedback Discrete-Time Nonlinear Systems with Input Saturation -- NN Based Adaptive Dynamic Surface Control for Fully Actuated AUV -- Bifurcation Control of a Fractional Order Hindmarsh-Rose Neuronal Model -- Adaptive Neural Control for a Class of Large-Scale Pure-Feedback Nonlinear Systems -- Adaptive Synchronization of Uncertain Chaotic Systems via Neural Network-Based Dynamic Surface Control Design -- Adaptive NN Dynamic Surface Control for Stochastic Nonlinear Strict-feedback Systems -- Cooperative Tracking of Multiple Agents with Uncertain Nonlinear Dynamics and Fixed Time Delays -- Adaptation Phase-Locked Loop Speed and Neuron PI Torque Control of Permanent Magnet Synchronous Motor -- Global Tracking Control of a Wheeled Mobile Robot Using RBF Neural Networks -- Adaptive NN Tracking Control of Double Inverted Pendulums with Input Saturation -- Identification and Control of PMSM Using Adaptive BP-PID Neural Network -- Adaptive NN Control for a Class of Chemical Reactor Systems -- Application-Oriented Adaptive Neural Networks Design for Ship’s Linear-tracking Control -- Adaptive Synchronization for Stochastic Markovian Jump Neural Networks with Mode-Dependent Delays -- Neural Network H∞ Tracking Control of Nonlinear Systems Using GHJI Method -- Adaptive Neural Control for Uncertain Attitude Dynamics of Near-Space Vehicles with Oblique Wing -- EMG-Based Neural Network Control of an Upper-Limb Power-Assist Exoskeleton Robot -- Neural Network Based Direct Adaptive Backstepping Method for Fin Stabilizer System -- Output Feedback Adaptive Rubost NN Control for a Class of Nonlinear Discrete-Time Systems -- Robust Fin Control for Ship Roll Stabilization by Using Functional-Link Neural Networks -- DSC Approach to Robust Adaptive NN Tracking Control for a Class of SISO Systems -- Integrated Intelligent Control Method of Coke Oven Collector Pressure -- DSC Approach to Adaptive NN Control on a Ship Linear-Path Following -- Observer-Based Adaptive Neural Networks Control of Nonlinear Pure Feedback Systems with Hysteresis -- Active Disturbance Rejection Control on Path Following for Underactuated Ships -- Bioinformatics and Biomedical Engineering, Brain-Like Systems and Brain-Computer Interfaces -- Canonical Correlation Analysis Neural Network for Steady-State Visual Evoked Potentials Based Brain-Computer Interfaces -- A Frequency Boosting Method for Motor Imagery EEG Classification in BCI-FES Rehabilitation Training System -- A Novel Ensemble Algorithm for Tumor Classification -- Reducing the Computation Time for BCI Using Improved ICA Algorithms -- An SSVEP-Based BCI with Adaptive Time-Window Length -- A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells -- Seizure Detection in Clinical EEG Based on Entropies and EMD -- Evolutionary Neural Networks, Hybrid Intelligent Systems -- A New Hybrid Intelligent System for Fast Neural Network Training -- EDA-Based Multi-objective Optimization Using Preference Order Ranking and Multivariate Gaussian Copula -- Resource Scheduling of Cloud with QoS Constraints -- Hybird Evolutionary Algorithms for Artificial Neural Network Training in Rainfalll Forecasting -- Artificial Fish Swarm Optimization Algorithm Based on Mixed Crossover Strategy -- Data Mining and Knowledge Discovery -- Bias-Guided Random Walk for Network-Based Data Classification -- A Robust Multi-criteria Recommendation Approach with Preference-Based Similarity and Support Vector Machine -- Semi-Supervised Learning Using Random Walk Limiting Probabilities -- A Purity Measure Based Transductive Learning Algorithm -- Novel Class Detection within Classification for Data Streams -- Spatial Pyramid Formulation in Weakly Supervised Manner -- Ship Maneuvering Modeling Based on Fuzzy Rules Extraction and Optimization -- Learning to Create an Extensible Event Ontology Model from Social-Media Streams -- A Revised Inference for Correlated Topic Model -- Other Applications of Neural Networks -- Adaptive Fault Estimation of Coupling Connections for Synchronization of Complex Interconnected Networks -- Time Series Fault Prediction in Semiconductor Equipment Using Recurrent Neural Network -- Relearning Probability Neural Network for Monitoring Human Behaviors by Using Wireless Sensor Networks -- Different ZFs Leading to Various ZNN Models Illustrated via Online Solution of Time-Varying Underdetermined Systems of Linear Equations with Robotic Application -- Estimation of Indicated Torque for Performance Monitoring in a Diesel Engine -- Blind Single Channel Identification Based on Signal Intermittency and Second-Order Statistics -- Constructing Surrogate Model for Optimum Concrete Mixtures Using Neural Network -- Flickr Group Recommendation Based on User-Generated Tags and Social Relations via Topic Model -- Measure Method of Fuzzy Inclusion Relation in Granular Computing -- Zhang-Gradient Controllers of Z0G0, Z1G0 and Z1G1 Types for Output Tracking of Time-Varying Linear Systems with Control-Singularity Conquered Finally -- Utilizing Social and Behavioral Neighbors for Personalized Recommendation -- Artificial Fish Swarm Algorithm for Two-Dimensional Non-Guillotine Cutting Stock Problem -- Utility-Driven Share Scheduling Algorithm in Hadoop -- Research on Fault Diagnosis of Transmission Line Based on SIFT Feature -- Research of Pneumatic Actuator Fault Diagnosis Method Based on GA Optimized BP Neural Network and Fuzzy Logic -- Gaussian Function Assisted Neural Networks Decoding Algorithm for Turbo Product Codes -- A New BP Neural Network Based Method for Load Harmonic Current Assessment -- Local Prediction of Network Traffic Measurements Data Based on Relevance Vector Machine -- A Massive Sensor Sampling Data Gathering Optimization Strategy for Concurrent Multi-criteria Target Monitoring Application -- Improving the Performance of Neural Networks with Random Forest in Detecting Network Intrusions -- Displacement Prediction Model of Landslide Based on Functional Networks -- Target Recognition Methods Based on Multi-neural Network Classifiers Fusion. |
| Record Nr. | UNISA-996465691703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Neural Networks- ISNN 2013 : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part II / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
| Advances in Neural Networks- ISNN 2013 : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part II / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXVI, 653 p. 234 illus.) : online resource |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Computer vision Mathematical models Algorithms Theory of Computation Artificial Intelligence Automated Pattern Recognition Computer Vision Mathematical Modeling and Industrial Mathematics |
| ISBN | 3-642-39068-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Control, Robotics and Hardware -- Optimal Tracking Control Scheme for Discrete-Time Nonlinear Systems with Approximation Errors -- Distributed Output Feedback Tracking Control of Uncertain Nonlinear Multi-Agent Systems with Unknown Input of Leader -- Quadrotor Flight Control Parameters Optimization Based on Chaotic Estimation of Distribution Algorithm -- Stability Analysis on Pattern-Based NN Control Systems -- Observer-Based H∞ Fuzzy Control for T-S Fuzzy Neural Networks with Random Data Losses -- Robust Adaptive Neural Network Control for Wheeled Inverted Pendulum with Input Saturation -- An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples -- On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems -- Adaptive NN Control for a Class of Strict-Feedback Discrete-Time Nonlinear Systems with Input Saturation -- NN Based Adaptive Dynamic Surface Control for Fully Actuated AUV -- Bifurcation Control of a Fractional Order Hindmarsh-Rose Neuronal Model -- Adaptive Neural Control for a Class of Large-Scale Pure-Feedback Nonlinear Systems -- Adaptive Synchronization of Uncertain Chaotic Systems via Neural Network-Based Dynamic Surface Control Design -- Adaptive NN Dynamic Surface Control for Stochastic Nonlinear Strict-feedback Systems -- Cooperative Tracking of Multiple Agents with Uncertain Nonlinear Dynamics and Fixed Time Delays -- Adaptation Phase-Locked Loop Speed and Neuron PI Torque Control of Permanent Magnet Synchronous Motor -- Global Tracking Control of a Wheeled Mobile Robot Using RBF Neural Networks -- Adaptive NN Tracking Control of Double Inverted Pendulums with Input Saturation -- Identification and Control of PMSM Using Adaptive BP-PID Neural Network -- Adaptive NN Control for a Class of Chemical Reactor Systems -- Application-Oriented Adaptive Neural Networks Design for Ship’s Linear-tracking Control -- Adaptive Synchronization for Stochastic Markovian Jump Neural Networks with Mode-Dependent Delays -- Neural Network H∞ Tracking Control of Nonlinear Systems Using GHJI Method -- Adaptive Neural Control for Uncertain Attitude Dynamics of Near-Space Vehicles with Oblique Wing -- EMG-Based Neural Network Control of an Upper-Limb Power-Assist Exoskeleton Robot -- Neural Network Based Direct Adaptive Backstepping Method for Fin Stabilizer System -- Output Feedback Adaptive Rubost NN Control for a Class of Nonlinear Discrete-Time Systems -- Robust Fin Control for Ship Roll Stabilization by Using Functional-Link Neural Networks -- DSC Approach to Robust Adaptive NN Tracking Control for a Class of SISO Systems -- Integrated Intelligent Control Method of Coke Oven Collector Pressure -- DSC Approach to Adaptive NN Control on a Ship Linear-Path Following -- Observer-Based Adaptive Neural Networks Control of Nonlinear Pure Feedback Systems with Hysteresis -- Active Disturbance Rejection Control on Path Following for Underactuated Ships -- Bioinformatics and Biomedical Engineering, Brain-Like Systems and Brain-Computer Interfaces -- Canonical Correlation Analysis Neural Network for Steady-State Visual Evoked Potentials Based Brain-Computer Interfaces -- A Frequency Boosting Method for Motor Imagery EEG Classification in BCI-FES Rehabilitation Training System -- A Novel Ensemble Algorithm for Tumor Classification -- Reducing the Computation Time for BCI Using Improved ICA Algorithms -- An SSVEP-Based BCI with Adaptive Time-Window Length -- A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells -- Seizure Detection in Clinical EEG Based on Entropies and EMD -- Evolutionary Neural Networks, Hybrid Intelligent Systems -- A New Hybrid Intelligent System for Fast Neural Network Training -- EDA-Based Multi-objective Optimization Using Preference Order Ranking and Multivariate Gaussian Copula -- Resource Scheduling of Cloud with QoS Constraints -- Hybird Evolutionary Algorithms for Artificial Neural Network Training in Rainfalll Forecasting -- Artificial Fish Swarm Optimization Algorithm Based on Mixed Crossover Strategy -- Data Mining and Knowledge Discovery -- Bias-Guided Random Walk for Network-Based Data Classification -- A Robust Multi-criteria Recommendation Approach with Preference-Based Similarity and Support Vector Machine -- Semi-Supervised Learning Using Random Walk Limiting Probabilities -- A Purity Measure Based Transductive Learning Algorithm -- Novel Class Detection within Classification for Data Streams -- Spatial Pyramid Formulation in Weakly Supervised Manner -- Ship Maneuvering Modeling Based on Fuzzy Rules Extraction and Optimization -- Learning to Create an Extensible Event Ontology Model from Social-Media Streams -- A Revised Inference for Correlated Topic Model -- Other Applications of Neural Networks -- Adaptive Fault Estimation of Coupling Connections for Synchronization of Complex Interconnected Networks -- Time Series Fault Prediction in Semiconductor Equipment Using Recurrent Neural Network -- Relearning Probability Neural Network for Monitoring Human Behaviors by Using Wireless Sensor Networks -- Different ZFs Leading to Various ZNN Models Illustrated via Online Solution of Time-Varying Underdetermined Systems of Linear Equations with Robotic Application -- Estimation of Indicated Torque for Performance Monitoring in a Diesel Engine -- Blind Single Channel Identification Based on Signal Intermittency and Second-Order Statistics -- Constructing Surrogate Model for Optimum Concrete Mixtures Using Neural Network -- Flickr Group Recommendation Based on User-Generated Tags and Social Relations via Topic Model -- Measure Method of Fuzzy Inclusion Relation in Granular Computing -- Zhang-Gradient Controllers of Z0G0, Z1G0 and Z1G1 Types for Output Tracking of Time-Varying Linear Systems with Control-Singularity Conquered Finally -- Utilizing Social and Behavioral Neighbors for Personalized Recommendation -- Artificial Fish Swarm Algorithm for Two-Dimensional Non-Guillotine Cutting Stock Problem -- Utility-Driven Share Scheduling Algorithm in Hadoop -- Research on Fault Diagnosis of Transmission Line Based on SIFT Feature -- Research of Pneumatic Actuator Fault Diagnosis Method Based on GA Optimized BP Neural Network and Fuzzy Logic -- Gaussian Function Assisted Neural Networks Decoding Algorithm for Turbo Product Codes -- A New BP Neural Network Based Method for Load Harmonic Current Assessment -- Local Prediction of Network Traffic Measurements Data Based on Relevance Vector Machine -- A Massive Sensor Sampling Data Gathering Optimization Strategy for Concurrent Multi-criteria Target Monitoring Application -- Improving the Performance of Neural Networks with Random Forest in Detecting Network Intrusions -- Displacement Prediction Model of Landslide Based on Functional Networks -- Target Recognition Methods Based on Multi-neural Network Classifiers Fusion. |
| Record Nr. | UNINA-9910484370303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Neural Networks- ISNN 2013 : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
| Advances in Neural Networks- ISNN 2013 : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXVI, 687 p. 268 illus.) : online resource |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Computer vision Mathematical models Algorithms Theory of Computation Artificial Intelligence Automated Pattern Recognition Computer Vision Mathematical Modeling and Industrial Mathematics |
| ISBN | 3-642-39065-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational Neuroscience and Cognitive Science -- Information Transfer Characteristic in Memristic Neuromorphic Network -- Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model -- A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem -- Spike Train Pattern and Firing Synchronization in a Model of the Olfactory Mitral Cell -- Efficiency Improvements for Fuzzy Associative Memory -- A Study of Neural Mechanism in Emotion Regulation by Simultaneous Recording of EEG and fMRI Based on ICA -- Emotion Cognitive Reappraisal Research Based on Simultaneous Recording of EEG and BOLD Responses -- Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks -- Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure -- A Study on Dynamic Characteristics of the Hippocampal Two-Dimension Reduced Neuron Model under Current Conductance Changes -- Neural Network Models, Learning Algorithms, Stability and Convergence Analysis -- Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method -- Generalized Single-Hidden Layer Feedforward Networks -- An Approach for Designing Neural Cryptography -- Bifurcation of a Discrete-Time Cohen-Grossberg-Type BAM Neural Network with Delays -- Stability Criteria for Uncertain Linear Systems with Time-Varying Delay -- Generalized Function Projective Lag Synchronization between Two Different Neural Networks -- Application of Local Activity Theory of CNN to the Coupled Autocatalator Model -- Passivity Criterion of Stochastic T-S Fuzzy Systems with Time-Varying Delays -- Parallel Computation of a New Data Driven Algorithm for Training Neural Networks -- Stability Analysis of a Class of High Order Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays and Reaction-Diffusion Terms -- A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression -- Stability of Nonnegative Periodic Solutions of High-Ordered Neural Networks -- Existence of Periodic Solution for Competitive Neural Networks with Time-Varying and Distributed Delays on Time Scales -- Global Exponential Stability in the Mean Square of Stochastic Cohen-Grossberg Neural Networks with Time-Varying and Continuous Distributed Delays -- A Delay-Partitioning Approach to Stability Analysis of Discrete-Time Recurrent Neural Networks with Randomly Occurred Nonlinearities -- The Universal Approximation Capabilities of Mellin Approximate Identity Neural Networks -- H∞ Filtering of Markovian Jumping Neural Networks with Time Delays -- Convergence Analysis for Feng’s MCA Neural Network Learning Algorithm -- Anti-periodic Solutions for Cohen-Grossberg Neural Networks with Varying-Time Delays and Impulses -- Global Robust Exponential Stability in Lagrange Sense for Interval Delayed Neural Networks -- The Binary Output Units of Neural Network -- Kernel Methods, Large Margin Methods and SVM -- Support Vector Machine with Customized Kernel -- Semi-supervised Kernel Minimum Squared Error Based on Manifold Structure -- Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA: A Monte Carlo Simulation Study -- SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples -- Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection -- Aeroengine Turbine Exhaust Gas Temperature Prediction Using Process Support Vector Machines -- The Effect of Lateral Inhibitory Connections in Spatial Architecture Neural Network -- Empirical Mode Decomposition Based LSSVM for Ship Motion Prediction -- Optimization Algorithms / Variational Methods -- Optimal Calculation of Tensor Learning Approaches -- Repeatable Optimization Algorithm Based Discrete PSO for Virtual Network Embedding -- An Energy-Efficient Coverage Optimization Method for the Wireless Sensor Networks Based on Multi-objective Quantum-Inspired Cultural Algorithm -- Artificial Bee Colony Algorithm for Modular Neural Network -- An Intelligent Optimization Algorithm for Power Control in Wireless Communication Systems -- Optimized Neural Network Ensemble by Combination of Particle Swarm Optimization and Differential Evolution -- Feature Analysis, Clustering, Pattern Recognition and Classification -- SOR Based Fuzzy K-Means Clustering Algorithm for Classification of Remotely Sensed Images -- UMPCA Based Feature Extraction for ECG -- Genetic Algorithm Based Neural Network for License Plate Recognition -- Optimizing Fuzzy ARTMAP Ensembles Using Hierarchical Parallel Genetic Algorithms and Negative Correlation -- Improvement of Panchromatic IKONOS Image Classification Based on Structural Neural Network -- Local Feature Coding for Action Recognition Using RGB-D Camera -- Circular Projection for Pattern Recognition -- A Tensor Factorization Based Least Squares Support Tensor Machine for Classification -- A Remote Sensing Image Classification Method Based on Extreme Learning Machine Ensemble -- Model Identification of an Unmanned Helicopter Using ELSSVM -- A Feature Point Clustering Algorithm Based on GG-RNN -- Local Fisher Discriminant Analysis with Locally Linear Embedding Affinity Matrix -- A Facial Expression Recognition Method by Fusing Multiple Sparse Representation Based Classifiers -- Image Data Classification Using Fuzzy c-Means Algorithm with Different Distance Measures -- Global Matching to Enhance the Strength of Local Intensity Order Pattern Feature Descriptor -- An Approach of Power Quality Disturbances Recognition Based on EEMD and Probabilistic Neural Network -- Chinese Text Classification Based on Neural Network -- The Angular Integral of the Radon Transform (aniRT) as a Feature Vector in Categorization of Visual Objects -- A Fast Algorithm for Clustering with MapReduce -- Gaussian Message Propagation in d-order Neighborhood for Gaussian Graphical Model -- Fast Image Classification Algorithms Based on Random Weights Networks -- A Convolutional Neural Network for Pedestrian Gender Recognition -- The Novel Seeding-Based Semi-supervised Fuzzy Clustering Algorithm Inspired by Diffusion Processes -- Fault Detection for Nonlinear Discrete-Time Systems via Deterministic Learning -- Loose Particle Classification Using a New Wavelet Fisher Discriminant Method -- L1 Graph Based on Sparse Coding for Feature Selection -- Vision Modeling and Image Processing -- An Image Segmentation Method for Maize Disease Based on IGA-PCNN -- A Vector Quantization Approach for Image Segmentation Based on SOM Neural Network -- A Fast Approximate Sparse Coding Networks and Application to Image Denoising -- Residual Image Compensations for Enhancement of High-Frequency Components in Face Hallucination -- Recognition Approach of Human Motion with Micro-accelerometer Based on PCA-BP Neural Network Algorithm -- A Stable Dual Purpose Adaptive Algorithm for Subspace Tracking on Noncompact Stiefel Manifold -- Invariant Object Recognition Using Radon and Fourier Transforms -- An Effective Method for Signal Extraction from Residual Image, with Application to Denoising Algorithms -- Visual Attention Computational Model Using Gabor Decomposition and 2D Entropy -- Human Detection Algorithm Based on Bispectrum Analysis for IR-UWB Radar. |
| Record Nr. | UNINA-9910484480603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing [[electronic resource] ] : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III / / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi-Sing Leung
| Neural Information Processing [[electronic resource] ] : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III / / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi-Sing Leung |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XXI, 722 p. 196 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Data mining Computer simulation Computer vision Theory of Computation Artificial Intelligence Automated Pattern Recognition Data Mining and Knowledge Discovery Computer Modelling Computer Vision |
| ISBN | 3-642-34487-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Centroid Neural Network with Simulated Annealing and Its Application to Color Image Segmentation -- Efficient Non-linear Filter for Impulse Noise Removal in Document Images -- Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting -- Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions -- Generalized Agglomerative Fuzzy Clustering -- A Novel Self-Adaptive Clustering Algorithm for Dynamic Data -- Impulsive Synchronization of State Delayed Discrete Complex Networks with Switching Topology.- Salient Instance Selection for Multiple-Instance Learning -- Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Simulation -- Application of Variational Granularity Language Sets in Interactive Genetic Algorithms -- Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis -- A Human-Simulated Immune Evolutionary Computation Approach -- A STPHD-Based Multi-sensor Fusion Method -- Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method -- Multiple Outlooks Learning with Support Vector Machines -- Multi-Task Learning Using Shared and Task Specific Information -- Learning Attentive Fusion of Multiple Bayesian Network Classifiers -- Multiclass Penalized Likelihood Pattern Classification Algorithm -- Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervision -- Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source -- Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations -- A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression -- Deterministic Annealing Multi-Sphere Support Vector Data Description,- Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface -- A Basic Study on Particle Swarm Optimization Based on Chaotic Spike Oscillator Dynamics -- On the Objective Function and Learning Algorithm for Concurrent Open Node Fault.- Evolutionary Extreme Learning Machine for Ordinal Regression -- Biclustering and Subspace Learning with Regularization for Financial Risk Analysis -- Emotion Understanding in Movie Clips Based on EEG Signal Analysis -- A Distributed Q-Learning Approach for Variable Attention to Multiple Critics.- A Hybrid Approach for Adaptive Car Navigation -- Low Complexity Classification System for Glove-Based Arabic Sign Language Recognition -- Transductive Cartoon Retrieval by Multiple Hypergraph Learning -- Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization -- Online Projective Nonnegative Matrix Factorization for Large Datasets -- Optimization of Fuzzy Systems Using Group-Based Evolutionary Algorithm -- Gabor-Based Novel Local, Shape and Color Features for Image Classification -- A Hybrid KNN-Ant Colony Optimization Algorithm for Prototype Selection -- Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm -- A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System -- Multi-source Transfer Learning with Multi-view Adaboost -- Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination -- Tracking Property of UMDA in Dynamic Environment by Landscape Framework -- Computation of Joint Spectral Radius for Network Model Associated with Rank-One Matrix Set -- Novelty Detection Using a New Group Outlier Factor -- Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons -- Feature Selection for Unsupervised Learning -- Recursive Similarity-Based Algorithm for Deep Learning -- A Fast Edge-Directed Interpolation Algorithm -- Real-Valued Constraint Optimization with ICHEA.- Modeling Post-training Memory Transfer in Cerebellar Motor Learning.- Surface-Based Construction of Curvature Selectivity from the Integration of Local Orientations -- Solving Dynamic Constraint Optimization Problems Using ICHEA -- An Incremental Approach to Solving Dynamic Constraint Satisfaction Problems -- Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm -- Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering -- Novel Robust Stability Criteria for Stochastic Hopfield Neural Network with Time-Varying Delays -- RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory -- A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking -- Modified Particle Swarm Optimization for Pattern Clustering -- A Weighted Learning Vector Quantization Approach for Interval Data -- A Genetic Algorithm Solution for the Operation of Green LTE Networks with Energy and Environment Considerations -- Robust Hypersurface Fitting Based on Random Sampling Approximations -- Manifold Regularized Multi-Task Learning -- Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree -- Basic Study on Particle Swarm Optimization with Hierarchical Structure for Constrained Optimization Problems -- A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks -- Immune Algorithm for Bitmap Join Indexes -- Data Driven System Identification Using Evolutionary Algorithms -- A Possibilistic Density Based Clustering for Discovering Clusters of Arbitrary Shapes and Densities in High Dimensional Data -- A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets -- Robust Active Learning for Linear Regression via Density Power Divergence -- Adaptive Probabilistic Policy Reuse -- Adaptive Classifier Selection in Large-Scale Hierarchical Classification -- An Efficient Algorithm for Anomaly Detection in a Flight System Using Dynamic Bayesian Networks.- A Novel Road Traffic Sign Detection and Recognition Approach by Introducing CCM and LESH -- On the Application of Bio-inspired Algorithms in Timetabling Problem -- A Bio Inspired Estimation of Distribution Algorithm for Global Optimization -- Managing Qualitative Preferences with Constraints.- Inspired Fuzzy K-Modes Clustring Algorithm -- Evaluating SPAN Incremental Learning for Handwritten Digit Recognition -- DPSO Based on Random Particle Priority Value and Decomposition Procedure as a Searching Strategy for the Evacuation Vehicle Routing Problem -- A Quantum-Inspired Evolutionary Algorithm for Optimization Numerical Problems -- Are You a Social Conformer.- Canonical Duality Theory and Algorithm for Solving Challenging Problems in Network Optimisation. Efficient Non-linear Filter for Impulse Noise Removal in Document Images -- Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting -- Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions -- Generalized Agglomerative Fuzzy Clustering -- A Novel Self-Adaptive Clustering Algorithm for Dynamic Data -- Impulsive Synchronization of State Delayed Discrete Complex Networks with Switching Topology.- Salient Instance Selection for Multiple-Instance Learning -- Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Simulation -- Application of Variational Granularity Language Sets in Interactive Genetic Algorithms -- Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis -- A Human-Simulated Immune Evolutionary Computation Approach -- A STPHD-Based Multi-sensor Fusion Method -- Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method -- Multiple Outlooks Learning with Support Vector Machines -- Multi-Task Learning Using Shared and Task Specific Information -- Learning Attentive Fusion of Multiple Bayesian Network Classifiers -- Multiclass Penalized Likelihood Pattern Classification Algorithm -- Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervision -- Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source -- Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations -- A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression -- Deterministic Annealing Multi-Sphere Support Vector Data Description,- Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface -- A Basic Study on Particle Swarm Optimization Based on Chaotic Spike Oscillator Dynamics -- On the Objective Function and Learning Algorithm for Concurrent Open Node Fault.- Evolutionary Extreme Learning Machine for Ordinal Regression -- Biclustering and Subspace Learning with Regularization for Financial Risk Analysis -- Emotion Understanding in Movie Clips Based on EEG Signal Analysis -- A Distributed Q-Learning Approach for Variable Attention to Multiple Critics.- A Hybrid Approach for Adaptive Car Navigation -- Low Complexity Classification System for Glove-Based Arabic Sign Language Recognition -- Transductive Cartoon Retrieval by Multiple Hypergraph Learning -- Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization -- Online Projective Nonnegative Matrix Factorization for Large Datasets -- Optimization of Fuzzy Systems Using Group-Based Evolutionary Algorithm -- Gabor-Based Novel Local, Shape and Color Features for Image Classification -- A Hybrid KNN-Ant Colony Optimization Algorithm for Prototype Selection -- Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm -- A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System -- Multi-source Transfer Learning with Multi-view Adaboost -- Semi-supervised Multitask Learning via Self-training and . |
| Record Nr. | UNISA-996466278003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II / / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung
| Neural Information Processing [[electronic resource] ] : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II / / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XXII, 712 p. 230 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Data mining Computer simulation Computer vision Theory of Computation Artificial Intelligence Automated Pattern Recognition Data Mining and Knowledge Discovery Computer Modelling Computer Vision |
| ISBN | 3-642-34481-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On the Optimization of Multiclass Support Vector Machines Dedicated to Speech Recognition -- Time Series Prediction Method Based on LS-SVR with Modified Gaussian RBF -- An Improved Method of Identification Based on Thermal Palm Vein Image -- Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial Neural Networks -- A Gaussian Mixture Model Based System for Detection of Macula in Fundus Images -- The Brain’s Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses -- Estimating Neural Firing Rates: An Empirical Bayes Approach -- Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods -- Improving Risk Predictions by Preprocessing Imbalanced Credit Data -- Hybrid Validation of Handwriting Process Modelling -- Off-Line Handwritten Arabic Word Recognition Using SVMs with Normalized Poly Kernel -- Bayesian Modeling of Visual Attention -- Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity -- Optimization of SIRMs Fuzzy Model Using Lukasiewicz Logic -- Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning -- Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects -- The Elastic Net as Visual Category Representation: Visualisation and Classification -- A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning -- Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology -- A Dynamic Bio-inspired Model of Categorization -- Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining -- Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study -- Identification of Neural Network Structure from Multiple Spike Sequences -- Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems -- Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting -- GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces -- A Regularized Linear Classifier for Effective Text Classification -- A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection -- Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements -- Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance -- Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines -- Using Agent Based Modeling and Simulation for Data Mining -- Neurodynamical Top-Down Processing during Auditory Attention -- A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and Data Visualization -- Human-Like Intuitive Playing in Board Games -- Identification of Diffusion Coefficient in Nonhomogeneous Landscapes -- Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks -- Generation of Environmental Representation of a Large Indoor Parking Lot. Survey on Simplified Olfactory Bionic Model to Generate Texture Images -- An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application -- A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification -- Multitask Twin Support Vector Machines -- Bandit-Based Structure Learning for Bayesian Network Classifiers -- Modeling the Mental Differentiation Task with EEG -- Office-Space-Allocation Problem Using Harmony Search Algorithm -- A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification -- An Orientation Detection Model Based on Fitting from Multiple Local Hypotheses -- Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory Model -- Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment -- Validation Based Sparse Gaussian Processes for Ordinal Regression -- Cross-Subject Classification of Speaking Modes Using fNIRS -- Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks -- A Novel Node Splitting Criteria for Decision Trees Based on Theil Index -- Modeling of Polycaprolactone Production from Lukasiewicz Logic -- Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning -- Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects -- The Elastic Net as Visual Category Representation: Visualisation and Classification -- A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning -- Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology -- A Dynamic Bio-inspired Model of Categorization -- Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining -- Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study -- Identification of Neural Network Structure from Multiple Spike Sequences -- Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems -- Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting -- GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces -- A Regularized Linear Classifier for Effective Text Classification -- A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection -- Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements -- Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance -- Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines -- Using Agent Based Modeling and Simulation for Data Mining -- Neurodynamical Top-Down Processing during Auditory Attention -- A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and Data Visualization -- Human-Like Intuitive Playing in Board Games -- Identification of Diffusion Coefficient in Nonhomogeneous Landscapes -- Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks -- Generation of Environmental Representation of a Large Indoor Parking Lot. Survey on Simplified Olfactory Bionic Model to Generate Texture Images -- An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application -- A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification -- Multitask Twin Support Vector Machines -- Bandit-Based Structure Learning for Bayesian Network Classifiers -- Modeling the Mental Differentiation Task with EEG -- Office-Space-Allocation Problem Using Harmony Search Algorithm -- A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification -- An Orientation Detection Model Based on Fitting from Multiple Local Hypotheses -- Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory Model -- Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment -- Validation Based Sparse Gaussian Processes for Ordinal Regression -- Cross-Subject Classification of Speaking Modes Using fNIRS -- Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks -- A Novel Node Splitting Criteria for Decision Trees Based on Theil Index -- Modeling of Polycaprolactone Production from ε-Caprolactone Using Neural Network -- Global Reweighting and Weight Vector Based Strategy for Multiclass Boosting -- Suppression of Functional System with Markovian Switching -- P-Order Normal Cloud Model: Walking on the Way between Gaussian and Power Law Distributions -- A Novel Method of Sparse Least Squares Support Vector Machines in Class Empirical Feature Space -- Semantic De-biased Associations (SDA) Model to Improve Ill-Structured Decision Support -- Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction -- Delay-Dependent Stabilization of Uncertain Distributed Systems with Interval Time-Varying Delay -- GARF: Towards Self-optimised Random Forests -- TaskRec: Probabilistic Matrix Factorization in Task Recommendation in Crowdsourcing Systems -- Feature Selection for Electricity Load Prediction -- Statistical and Machine Learning Methods for Electricity Demand Prediction -- EnerPlan: Smart Energy Management Planning for Home Users -- Harnessing Chaotic Activation Functions in Training Neural Network -- Self-correcting Symmetry Detection Network -- Parallel Support Vector Configuration for Identification of Fast Independent Components in Morphological Patterns Derived by Cardiovasographic Analysis on the Radial Pulse -- Energy-Based Temporal Neural Networks for Imputing Missing Values -- Emergence of Multi-step Discrete State Transition through Reinforcement Learning with a Recurrent Neural Network -- Collaborative Generative Topographic Mapping -- Rule Extraction from Ensemble Methods Using Aggregated Decision Trees -- Classification of Power Quality Disturbances Using Artificial Neural Networks and a Logarithmically Compressed S-Transform -- Multi-Threaded Support Vector Machines for Pattern Recognition -- A Malware Collection and Analysis Framework Based on Darknet Traffic -- Markovian Models for Electrical Load Prediction in Smart Buildings -- Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments -- Multivariate Isotonic Regression under Tree Semi-order Restrictions and Test in Multivariate Normal Distribution -- Consonantal Recognition Using SVM and a Hierarchical Decision Structure Based in the Articulatory Phonetics -- SVM-Based Just-in-Time Ad. |
| Record Nr. | UNISA-996466276903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I / / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung
| Neural Information Processing [[electronic resource] ] : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I / / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XXII, 708 p. 263 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Data mining Computer simulation Computer vision Theory of Computation Artificial Intelligence Automated Pattern Recognition Data Mining and Knowledge Discovery Computer Modelling Computer Vision |
| ISBN | 3-642-34475-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Does Social Network Always Promote Entrepreneurial Intentions? Part I: Theoretical Model -- Association of Anti-Histamine Drugs with Brain Tumor -- Estimating Principal Point and Nonlinear Parameters of Camera from a Planar Calibration Image -- Design of Distribution Independent Noise Filters with Online PDF Estimation -- Determining Effective Connectivity from FMRI Data Using a Gaussian Dynamic Bayesian Network -- Transient-Time Fractional-Space Trigonometry and Application -- Understanding Individual Play Sequences Using Growing Self Organizing Maps -- Audio-Visual Feature Fusion for Speaker Identification -- Decoding Cognitive States from Neural Activities of Somatosensory Cortex -- Cognitive Modeling of Dilution Effects in Visual Search -- Complexity Analysis of EEG Data during Rest State and Visual Stimulus -- Analysis of Alertness Status of Subjects Undergoing the Cortical Auditory Evoked Potential Hearing Test -- Price Forecasting Using Dynamic Assessment of Market Conditions and Agent’s Bidding Behavior.- Non-convex Optimization on Stiefel Manifold and Applications to Machine Learning -- Local Patch Dissimilarity for Images -- Nearly Optimal Control for Nonlinear Systems with Dead-Zone Control Input Based on the Iterative ADP Approach -- A Memetic Approach for the Knowledge Extraction -- Development of a Novel Conversational Calculator Based on Remote Online Computation -- Load Forecasting Accuracy through Combination of Trimmed Forecasts -- Self Organizing Maps for Visualization of Categories -- Learning Anticipation through Priming in Spatio-temporal Neural Networks -- Set-Similarity Joins Based Semi-supervised Sentiment Analysis -- An Architecture to Efficiently Learn Co-Similarities from Multi-view Datasets -- Incremental Face Recognition: Hybrid Approach Using Short-Term Memory and Long-Term Memory -- A Psychophysiological Analysis of Weak Annoyances in Human Computer Interfaces -- Neural and Speech Indicators of Cognitive Load for Sudoku Game Interfaces -- Generalized Hamilton-Jacobi-Isaacs Formulation-Based Neural Network H∞ Control for Constrained Input Nonlinear Systems.- Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering -- Emotion Recognition Using KNN Classification for User Modeling and Sharing of Affect States -- FPGA Implementation of a Cortical Network Based on the Hodgkin-Huxley Neuron Model -- Future Prediction with Hierarchical Episodic Memories under Deterministic and Stochastic Environments -- SDE-Driven Service Provision Control -- ICHEA – A Constraint Guided Search for Improving Evolutionary Algorithms -- Adaptive Dynamic Control of Quadrupedal Robotic Gaits with Artificial Reaction Networks.- Bifurcation Analysis of a Two-Dimensional Simplified Hodgkin-Huxley Model Exposed to External Electric Fields.- A Sequential Data Mining Method for Modelling Solar Magnetic Cycles -- Steady-State Visually Evoked Potential (SSVEP)-Based Brain-Computer Interface (BCI): A Low-Delayed Asynchronous Wheelchair Control System -- Weak Projective Lag Synchronization of Neural Networks with Time Delay and Parameter Mismatch -- Measuring Stress-Reducing Effects of Virtual Training Based on Subjective Response -- Calibration of Low Density EEG Sensor Arrays for Brain Source Localization -- A Novel Ontological Technique for Sentiment Analysis -- Learning Temporal Coherent Features through Life-Time Sparsity.- The Circuit Realization of a Neuromorphic Computing System with Memristor-Based Synapse Design -- Discriminative Feature Analysis and Selection for Document Classification -- Training Minimum Enclosing Balls for Cross Tasks Knowledge Transfer -- Structures of Surround Modulation for the Border-Ownership Selectivity of V2 Cells -- Characterisation of Information Flow in an Izhikevich Network -- Estimating Brain Activity of Motor Learning by Using fNIRS-GLM Analysis -- Double Approximate Identity Neural Networks Universal Approximation in Real Lebesgue Spaces -- Stabilizing Relaxed Nonlinear FMA Yields a (Combinatorial) Optimizer -- Iterative Evolutionary Subspace Clustering -- Dynamic Health Level 7 Packetizer for On-the-Fly Integrated Healthcare Enterprises (IHE) in Disaster Zones -- Budgeted Knowledge Transfer for State-Wise Heterogeneous RL Agents.- Supervised Isomap Based on Pairwise Constraints -- r-Anonymized Clustering -- Improved Differential Evolution via Cuckoo Search Operator -- Modelling Temporal Aspects of Situation Awareness -- Apparent Volitional Behavior Selection Based on Memory Predictions -- Sampling Normal Distribution Restricted on Multiple Regions -- An Estimation of Cell Forces with Hierarchical Bayes Approach Considering Cell Morphology -- Simultaneous Feature Selection and Clustering Using Particle Swarm Optimization -- Hybrid Online Non-negative Matrix Factorization for Clustering of Documents -- Retrieval of Semantic Concepts Based on Analysis of Texts for Automatic Construction of Ontology -- Statistical Analysis of Arabic Phonemes Used in Arabic Speech Recognition -- Manifold Analysis of Spectral Munsell Colors -- Discrete-Time Hopfield Neural Network Based Text Clustering Algorithm -- Trust and Equity Theory in Prisoner’s Dilemma -- Fault Diagnosis of a High-Speed Automaton Based on Structure Vibration Response Analysis -- Over-Sampling from an Auxiliary Domain -- Decoding Network Activity from LFPs: A Computational Approach -- Evolutionary Design of the Closed Loop Control on the Basis of NN-ANARX Model Using Genetic Algorithm -- Psychophysiological Evaluation of Task Complexity and Cognitive Performance in a Human Computer Interface Experiment -- Interval-Valued Fuzzy Extension of Formal Concept Analysis for Information Retrieval -- Approximation of Feature Vectors in Nonnegative Matrix Factorization with Gaussian Radial Basis Functions -- RAFNI: Robust Analysis of Functional NeuroImages with Non–normal α-Stable Error -- Authorship Attribution of Electronic Documents Comparing the Use of Normalized Compression Distance and Support Vector Machine in Authorship Attribution -- Semantic Levels of Domain-Independent Commonsense Knowledgebase for Visual Indexing and Retrieval Applications -- Automated Segmentation and Tracking of Dynamic Focal Adhesions in Time-Lapse Fluorescence Microscopy -- Towards IMACA: Intelligent Multimodal Affective Conversational Agent -- The Optimal Control of Discrete-Time Delay Nonlinear System with Dual Heuristic Dynamic Programming -- Towards Applying Associative Classifier for Genetic Variants.- Brain Computer Interfacing Using Humour and Memory Recall -- On the Reconstruction of Genetic Network from Partial Microarray Data. Association of Anti-Histamine Drugs with Brain Tumor -- Estimating Principal Point and Nonlinear Parameters of Camera from a Planar Calibration Image -- Design of Distribution Independent Noise Filters with Online PDF Estimation -- Determining Effective Connectivity from FMRI Data Using a Gaussian Dynamic Bayesian Network -- Transient-Time Fractional-Space Trigonometry and Application -- Understanding Individual Play Sequences Using Growing Self Organizing Maps -- Audio-Visual Feature Fusion for Speaker Identification -- Decoding Cognitive States from Neural Activities of Somatosensory Cortex -- Cognitive Modeling of Dilution Effects in Visual Search -- Complexity Analysis of EEG Data during Rest State and Visual Stimulus -- Analysis of Alertness Status of Subjects Undergoing the Cortical Auditory Evoked Potential Hearing Test -- Price Forecasting Using Dynamic Assessment of Market Conditions and Agent’s Bidding Behavior.- Non-convex Optimization on Stiefel Manifold and Applications to Machine Learning -- Local Patch Dissimilarity for Images -- Nearly Optimal Control for Nonlinear Systems with Dead-Zone Control Input Based on the Iterative ADP Approach -- A Memetic Approach for the Knowledge Extraction -- Development of a Novel Conversational Calculator Based on Remote Online Computation -- Load Forecasting Accuracy through Combination of Trimmed Forecasts -- Self Organizing Maps for Visualization of Categories -- Learning Anticipation through Priming in Spatio-temporal Neural Networks -- Set-Similarity Joins Based Semi-supervised Sentiment Analysis -- An Architecture to Efficiently Learn Co-Similarities from Multi-view Datasets -- Incremental Face Recognition: Hybrid Approach Using Short-Term Memory and Long-Term Memory -- A Psychophysiological Analysis of Weak Annoyances in Human Computer Interfaces -- Neural and Speech Indicators of Cognitive Load for Sudoku Game Interfaces -- Generalized Hamilton-Jacobi-Isaacs Formulation-Based Neural Network H∞ Control for Constrained Input Nonlinear Systems.- Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering -- Emotion Recognition Using KNN Classification for User Modeling and Sharing of Affect States -- FPGA Implementation of a Cortical Network Based on the Hodgkin-Huxley Neuron Model -- Future Prediction with Hierarchical Episodic Memories under Deterministic and Stochastic Environments -- SDE-Driven Service Provision Control -- ICHEA – A Constraint Guided Search for Improving Evolutionary Algorithms -- Adaptive Dynamic Control of Quadrupedal Robotic Gaits with Artificial Reaction Networks.- Bifurcation Analysis of a Two-Dimensional Simplified Hodgkin-Huxley Model Exposed to External Electric Fields.- A Sequential Data Mining Method for Modelling Solar Magnetic Cycles -- Steady-State Visually Evoked Potential (SSVEP)-Based Brain-Computer Interface (BCI): A Low-Delayed Asynchronous Wheelchair Control System -- Weak Projective Lag Synchronization of Neural Networks with Time Delay and Parameter Mismatch -- Measuring Stress-Reducing Effects of Virtual Training Based on Subjective Response -- Calibration of Low Density EEG Sensor Arrays for Brain Source Localization -- A Novel Ontological Technique for Sentiment Analysis -- Learning Temporal Coherent Features through Lif. |
| Record Nr. | UNISA-996466277403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV / / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung
| Neural Information Processing [[electronic resource] ] : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV / / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XXII, 710 p. 305 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Data mining Computer simulation Computer vision Theory of Computation Artificial Intelligence Automated Pattern Recognition Data Mining and Knowledge Discovery Computer Modelling Computer Vision |
| ISBN | 3-642-34478-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Network Learning for Blind Source Separation with Application in Dam Safety Monitoring -- Improved BTC Algorithm for Gray Scale Images Using K-Means Quad Clustering -- Optimization of a Neural Network for Computer Vision Based Fall Detection with Fixed-Point Arithmetic -- Customer Relationship Management Using Partial Focus Feature Reduction -- An Automated System for the Grading of Diabetic Maculopathy in Fundus Images -- An Iterative Method for a Class of Generalized Global Dynamical System Involving Fuzzy Mappings in Hilbert Spaces -- Estimation of Missing Precipitation Records Using Modular Artificial Neural Networks -- Office Employees Authentication Based on E-exam Techniques -- Obtaining Single Document Summaries Using Latent Dirichlet Allocation -- Object Recognition Using Sparse Representation of Overcomplete Dictionary -- PEAQ Compatible Audio Quality Estimation Using Computational Auditory Model.- A System for Offline Character Recognition Using Auto-encoder Networks -- TrafficS: A Behavior-Based Network Traffic Classification Benchmark System with Traffic Sampling Functionality -- Harmony Search with Multi-Parent Crossover for Solving IEEE-CEC2011 Competition Problems -- New Intelligent Interactive Automated Systems for Design of Machine Elements and Assemblies.- Neural Networks Based Aerial Images Segmentation Method -- Frontal Cortex Neural Activities Shift Cognitive Resources Away from Facial Activities in Real-Time Problem Solving -- Implement Real-Time Polyphonic Pitch Detection and Feedback System for the Melodic Instrument Player -- Classification of Interview Sheets Using Self-Organizing Maps for Determination of Ophthalmic Examinations -- Sound-Based Ranging System in Greenhouse Environment with Multipath Effect Compensation Using Artificial Neural Network -- Multimedia Educational Content for Saudi Deaf -- Grasping Region Identification in Novel Objects Using Microsoft Kinect -- Annotating Words Using WordNet Semantic Glosses -- Identification of Moving Vehicle Trajectory Using Manifold Learning -- Approaches for the Detection of the Keywords in Spoken Documents Application for the Field of E-Libraries.- Fast Affine Invariant Shape Matching from 3D Images Based on the Distance Association Map and the Genetic Algorithm -- Sparse Gradient-Based Direct Policy Search -- Application of Sampling Theory to Forecast Ozone by Neural Network -- Application of Genetic Neural Networks for Modeling of Active Devices -- Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine -- Effective Handwriting Recognition System Using Geometrical Character Analysis Algorithms -- The Use of ASM Feature Extraction and Machine Learning for the Discrimination of Members of the Fish Ectoparasite Genus Gyrodactylus -- DBNs-BLR (MCMC) -GAs-KNN: A Novel Framework of Hybrid System for Thalassemia Expert System.- Hybrid Approach for Diagnosing Thyroid, Hepatitis, and Breast Cancer Based on Correlation Based Feature Selection and Na¨ıve Bayes -- Data Discretization Using the Extreme Learning Machine Neural Network -- Bayesian Variable Selection in Neural Networks for Short-Term Meteorological Prediction.- Integrated Problem Solving Steering Framework on Clash Reconciliation Strategies for University Examination Timetabling Problem.- A Data Gathering Scheme in Wireless Sensor Networks Using a Spiking Neural Network with Simple Local Information -- Utilizing Symbolic Representation in Synergistic Neural Networks Classifier of Control Chart Patterns -- Semantic Analysis of FBI News Reports -- Regularized Signal Deconvolution Based on Hybrid Swarm Intelligence: Application to Neutron Imaging -- Artificial Bees Colony Optimized Neural Network Model for ECG Signals Classification -- Single-Trial Multi-channel N170 Estimation Using Linear Discriminant Analysis (LDA).- EEG Based Foot Movement Onset Detection with the Probabilistic Classification Vector Machine -- Neural Networks Based System for the Supervision of Therapeutic Exercises.- Fuzzy Model for Detection and Estimation of the Degree of Autism Spectrum Disorder -- Detecting Different Tasks Using EEG-Source-Temporal Features -- Artificial Neural Network Classification Models for Stress in Reading -- Performance Evaluation of TCP and UDP Traffic in IEEE 1451 Compliant Healthcare Infrastructure -- Power and Task Management in Wireless Body Area Network Based Medical Monitoring Systems -- Feature Salience for Neural Networks: Comparing Algorithms.- Adaptive Modeling of HRTFs Based on Reinforcement Learning -- Damage Pattern Recognition of Refractory Materials Based on BP Neural Network.- Robust and Optimum Features for Persian Accent Classification Using Artificial Neural Network -- Identification of Factors Characterising Volatility and Firm-Specific Risk Using Ensemble Classifiers -- Fuzzy Classification-Based Control of Wheelchair Using EEG Data to Assist People with Disabilities.- EEG-Based Emotion Recognition in Listening Music by Using Support Vector Machine and Linear Dynamic System -- Analysis of Genetic Disease Hemophilia B by Using Support Vector Machine -- EEG-Based Fatigue Classification by Using Parallel Hidden Markov Model and Pattern Classifier Combination -- A Novel Approach to Protein Structure Prediction Using PCA or LDA Based Extreme Learning Machines.- Hierarchical Parallel PSO-SVM Based Subject-Independent Sleep Apnea Classification.- Air Quality Monitoring and Prediction System Using Machine-to-Machine Platform.- An Extension of the Consensus-Based Bundle Algorithm for Group Dependant Tasks with Equipment Dependencies -- From e-Learning to m-Learning: Context-Aware CBR System -- Extreme Learning Machines for Intrusion Detection Systems -- A Self-Organizing Maps Multivariate Spatio-temporal Approach for the Classification of Atmospheric Conditions -- An Online Signature Verification System for Forgery and Disguise Detection -- A Modular Approach to Support the Multidisciplinary Design of Educational Game Experiences -- Touch-Based Mobile Phone Interface Guidelines and Design Recommendations for Elderly People: A Survey of the Literature -- A Novel Paradigm for Mining Cell Phenotypes in Multi-tag Bioimages Using a Locality Preserving Nonlinear Embedding -- SNEOM: A Sanger Network Based Extended Over-Sampling Method. Application to Imbalanced Biomedical Datasets -- Abductive Neural Network Modeling for Hand Recognition Using Geometric Features -- Designing Serious Games for Adult Students with Cognitive Disabilities -- Neural Network Based Approach for Automotive Brake Light Parameter Estimation -- A Single Neuron Model for Pattern Classification -- Continuous Classification of Spatio-temporal Data Streams Using Liquid State Machines -- On the Selection of Time-Frequency Features for Improving the Detection and Classification of Newborn EEG Seizure Signals and Other Abnormalities -- Turf Grass Irrigation Using Neuro-Fuzzy System -- A Target-Reaching Controller for Mobile Robots Using Spiking Neural Networks -- Assessing Reliability of Substation Spare Current Transformer System -- Study on Supply Disruption Management of Supply Chain Based on Case-Based Reasoning -- Global Minimizer of Large Scale Stochastic Rosenbrock Function: Canonical Duality Approach -- Study on Landslide Deformation Prediction Based on Recurrent Neural Network under the Function of Rainfall -- Vehicle Image Classification Based on Edge: Features and Distances Comparison. Improved BTC Algorithm for Gray Scale Images Using K-Means Quad Clustering -- Optimization of a Neural Network for Computer Vision Based Fall Detection with Fixed-Point Arithmetic -- Customer Relationship Management Using Partial Focus Feature Reduction -- An Automated System for the Grading of Diabetic Maculopathy in Fundus Images -- An Iterative Method for a Class of Generalized Global Dynamical System Involving Fuzzy Mappings in Hilbert Spaces -- Estimation of Missing Precipitation Records Using Modular Artificial Neural Networks -- Office Employees Authentication Based on E-exam Techniques -- Obtaining Single Document Summaries Using Latent Dirichlet Allocation -- Object Recognition Using Sparse Representation of Overcomplete Dictionary -- PEAQ Compatible Audio Quality Estimation Using Computational Auditory Model.- A System for Offline Character Recognition Using Auto-encoder Networks -- TrafficS: A Behavior-Based Network Traffic Classification Benchmark System with Traffic Sampling Functionality -- Harmony Search with Multi-Parent Crossover for Solving IEEE-CEC2011 Competition Problems -- New Intelligent Interactive Automated Systems for Design of Machine Elements and Assemblies.- Neural Networks Based Aerial Images Segmentation Method -- Frontal Cortex Neural Activities Shift Cognitive Resources Away from Facial Activities in Real-Time Problem Solving -- Implement Real-Time Polyphonic Pitch Detection and Feedback System for the Melodic Instrument Player -- Classification of Interview Sheets Using Self-Organizing Maps for Determination of Ophthalmic Examinations -- Sound-Based Ranging System in Greenhouse Environment with Multipath Effect Compensation Using Artificial Neural Network -- Multimedia Educational Content for Saudi Deaf -- Grasping Region Identification in Novel Objects Using Microsoft Kinect -- Annotating Words Using WordNet Semantic Glosses -- Identification of Moving Vehicle Trajectory Using Manifold Learning -- Approaches for the Detection of the Keywords in Spoken Documents Application for the Field of E-Libraries.- Fast Affine Invariant Shape Matching from 3D Images Based on the Distance Association Map and the Genetic Algorithm -- Sparse Gradient-Based Direct Policy Search -- Application of Sampling Theory to Forecast Ozone by Neural Network -- Application of Genetic Neural Networks for Modeling of Active Devices -- Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine -- Effective Handwri. |
| Record Nr. | UNISA-996466276503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
