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Biblioteca

MARC Lista (tabellare)
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVI, 595 p. 340 illus., 176 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Optical data processing
Computers
Pattern recognition
Application software
Artificial Intelligence
Image Processing and Computer Vision
Information Systems and Communication Service
Pattern Recognition
Computer Applications
ISBN 3-030-39431-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Neural Computation -- Biologically Inspired Systems -- Image Recognition: Detection, Tracking and Classification -- Data Analysis and Natural Language Processing.
Record Nr. UNINA-9910373928103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVI, 595 p. 340 illus., 176 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Optical data processing
Computers
Pattern recognition
Application software
Artificial Intelligence
Image Processing and Computer Vision
Information Systems and Communication Service
Pattern Recognition
Computer Applications
ISBN 3-030-39431-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Neural Computation -- Biologically Inspired Systems -- Image Recognition: Detection, Tracking and Classification -- Data Analysis and Natural Language Processing.
Record Nr. UNISA-996418221403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Deep Learning: Fundamentals, Theory and Applications [[electronic resource] /] / edited by Kaizhu Huang, Amir Hussain, Qiu-Feng Wang, Rui Zhang
Deep Learning: Fundamentals, Theory and Applications [[electronic resource] /] / edited by Kaizhu Huang, Amir Hussain, Qiu-Feng Wang, Rui Zhang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (VII, 163 p. 66 illus., 46 illus. in color.)
Disciplina 610
Collana Cognitive Computation Trends
Soggetto topico Medicine
Artificial intelligence
Algorithms
Biomedicine, general
Artificial Intelligence
ISBN 3-030-06073-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Introduction to Deep Density Models with Latent Variables -- Deep RNN Architecture: Design and Evaluation -- Deep Learning Based Handwritten Chinese Character and Text Recognition -- Deep Learning and Its Applications to Natural Language Processing -- Deep Learning for Natural Language Processing -- Oceanic Data Analysis with Deep Learning Models -- Index.
Record Nr. UNINA-9910337950003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
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Lo trovi qui: Univ. Federico II
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Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVIII, 603 p. 80 illus.)
Disciplina 004
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Computer vision
Artificial intelligence
Computer science
Data mining
Automated Pattern Recognition
Computer Vision
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
ISBN 3-319-12640-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Kernel and Statistical Methods -- A New Ensemble Clustering Method based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling -- Extraction of Dimension Reduced Features from Empirical Kernel Vector -- Method of Evolving Non-stationary Multiple Kernel Learning -- A kernel method to extract common features based on mutual information -- Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers -- Non-Monotonic Feature Selection for Regression -- Non-negative Matrix Factorization with Schatten p-norms Reguralization -- A New Energy Model for the Hidden Markov Random Fields -- Online nonlinear Granger causality detection by quantized kernel least mean square -- A Computational Model of Anti-Bayesian Sensory Integration in the Size-Weight Illusion -- Unsupervised Dimensionality Reduction for Gaussian Mixture Model -- Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions -- Texture analysis based automated decision support System for classification of Skin Cancer using SA-SVM -- In-attention State Monitoring for a Driver Based On Head Pose and Eye Blinking Detection Using One Class Support Vector Machine -- An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices -- Fine-Grained Air Quality Monitoring Based on Gaussian Process Regression -- Retrieval of Experiments by Efficient Estimation of Marginal Likelihood -- Evolutionary Computation and Hybrid Intelligent Systems -- A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adaptive Mutation -- Data Clustering Based on Particle Swarm Optimization with Neighborhood Search and Cauchy Mutation -- Accuracy Improvement of Localization and Mapping of ICP-SLAM Via Competitive Associative Nets and Leave-One-Out Cross-Validation -- Saliency Level Set Evolution -- Application of Cuckoo Search for Design Optimization of Heat Exchangers -- A Hybrid Method to Improve the Reduction of Ballistocardiogram Artifact from EEG Data -- VLGAAC: Variable Length Genetic Algorithm based Alternative Clustering -- Social Book Search with Pseudo-Relevance Feedback -- A Random Key Genetic Algorithm for Live Migration of Multiple Virtual Machines in Data Centers -- Collaboration of the Radial Basis ART and PSO in Multi-Solution Problems of the Henon Map -- Reconstructing Gene Regulatory Network with Enhanced Particle Swarm Optimization -- Neural Network Training by Hybrid Accelerated Cuckoo Particle Swarm Optimization Algorithm -- An Accelerated Particle Swarm Optimization Based Levenberg Marquardt Back Propagation Algorithm -- Fission-and-Recombination Particle Swarm Optimizers for Search of Multiple Solutions -- Fast Generalized Fuzzy C-means Using Particle Swarm Optimization for Image Segmentation -- Evolutionary Learning and Stability of Mixed-Rule Cellular Automata -- Pattern Recognition Techniques -- Radical-Enhanced Chinese Character Embedding -- Conditional Multidimensional Parameter Identification with Asymmetric Correlated Losses of Estimation Errors -- Short Text Hashing Improved by Integrating Topic Features and Tags -- Synthetic test data generation for hierarchical graph clustering methods -- Optimal Landmark Selection for Nystrom Approximation -- Privacy Preserving Clustering: A k-Means Type Extension -- Stream Quantiles via Maximal Entropy Histograms -- A Unified Framework for Thermal Face Recognition -- Geometric Feature-based Facial Emotion Recognition using Two-Stage Fuzzy Reasoning Model -- Human Activity Recognition by Matching Curve Shapes -- Sentiment Analysis of Chinese Microblogs Based on Layered Features -- Feature group weighting and topological biclustering -- A Label Completion Approach to Crowd Approximation -- Multi-label Linear Discriminant Analysis with Locality Consistency -- Hashing for Financial Credit Risk Analysis -- MAP Inference with MRF by Graduated Non-Convexity and Concavity Procedure -- Two-Phase Approach to Link Prediction -- Properties of Direct Multi-Step Ahead Prediction of Chaotic Time Series and Out-of-Bag Estimate for Model Selection -- Multi-document Summarization based on Sentence Clustering -- An Ontology-based Approach to Query Suggestion Diversification -- Sensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control -- Segmenting Webpage using Ontology and Word Matching for segments detection -- Continuity of Discrete-time Fuzzy Systems -- Sib-based Survival Selection Technique for Protein Structure Prediction in 3D-FCC lattice Model -- Tensor Completion based on Structural Information -- Document Versioning Using Feature Space Distances -- Separation and Classication of Crackles and Bronchial Breath sounds from Normal Breath Sounds Using Gaussian Mixture Model -- Combined Features for Face Recognition in Surveillance Conditions -- Sparse Coding on Multiple Manifold Data -- Mutual Information Estimation with Random Forests -- Out-of-vocabulary Words Recognition Based on Conditional Random Field in Electronic Commerce -- Least angle regression in orthogonal case -- Evaluation Protocol of Early Classifiers Over Multiple Data Sets -- Exploiting Level-Wise Category Links for Semantic Relatedness Computing -- Characteristic Prediction of A Varistor in Overvoltage Protection Application -- Optimizing Complex Building Renovation Process with Fuzzy Signature State Machines -- News classification with Auxiliary Long Texts -- Modelling Mediator Intervention in Joint Decision Making Processes Involving Mutual Empathic Understanding.
Record Nr. UNISA-996213647003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XXXIV, 635 p. 258 illus.)
Disciplina 006.32
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Computer vision
Artificial intelligence
Computer science
Data mining
Automated Pattern Recognition
Computer Vision
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
ISBN 3-319-12637-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cognitive Science.-Transfer Entropy and Information Flow Patterns in Functional Brain Networks during Cognitive Activity -- Human Implicit Intent Discrimination Using EEG and Eye Movement -- Towards Establishing Relationships Between Human Arousal level and Motion Mass -- Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites -- Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning -- An Agent Response System based on Mirror Neuron and Theory of Mind -- Dynamic of Nitric Oxide Diffusion in Volume Transmission: Model and Validation -- A Computational Model of the Relation Between Regulation of Negative Emotions and Mood -- Neural Networks and Learning Systems - Theory and Design -- Low-cost Representation for Restricted Boltzmann Machines -- Add-if-Silent Rule for Training Multi-layered Convolutional Network Neocognitron -- Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework Including Unlabeled Samples Distribution into Decision -- Computational Model of Neocortical Learning Process: Prototype -- Active Learning with Maximum Density and Minimum Redundancy -- One-to-Many Association Ability of Chaotic Quaternionic Multidirectional Associative Memory -- An Entropy-guided Adaptive Co-construction Method of State and Action Spaces in Reinforcement Learning -- A Nodes Reduction Procedure for RBFNDDA through Histogram -- Toroidal approximate identity neural networks are universal approximators -- Self-Organizing Neural Grove -- Transfer learning using the Online FMM model -- A supervised methodology to measure the variables contribution to a clustering -- Coupling between spatial consistency of neural ring and local eld potential coherence: A computational study -- Fading channel prediction based on self-optimizing neural networks -- Invariant Multiparameter Sensitivity of Oscillator Network -- Spatial-Temporal Saliency Feature Extraction For Robust Mean-Shift Tracker -- BOOSTRON: Boosting Based Perceptron Learning -- G-Stream: Growing Neural Gas over Data Stream -- Combining Active Learning and Semi-Supervised Learning Using Local and Global Consistency -- Complex-Valued Neural Networks -- Recent Progress and Future Directions -- A Cascade System of Simple Dynamic Binary Neural Networks and Its Sparsification -- A Model of V4 Neurons Based on Sparse Coding -- A fast and memory-efficient hierarchical graph clustering algorithm -- Hopfield-Type Associative Memory with Sparse Modular Networks -- Concept Drift Detection based on Anomaly Analysis -- Online learning for faulty RBF networks with the concurrent fault -- The Performance of the Stochastic DNN-kWTA network -- Modularity maximization adjusted by neural networks -- A dynamic pruning strategy for incremental learning on a budget -- Neural Computing with Concurrent Synchrony -- A Line-partitioned Heteroassociative Memory for Storing Binary Fresnel Hologram -- A Unified Framework for Privacy Preserving Data Clustering -- Spiking Neural Network with Lateral Inhibition for Reward-based Associative Learning -- Fuzzy Signature Neural Networks for Classification: Optimising the Structure -- Self-Organizing Map-based Probabilistic Associative Memory -- Neural Networks and Learning Systems – Applications -- A Causal Model for Disease Pathway Discovery -- Enhanced Non-linear Features for On-line Handwriting Recognition Using Deep Learning -- Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks -- A Neural Networks Committee for the Contextual Bandit Problem -- Multi-step Predictions of Landslide Displacements based on Echo State Network -- Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks -- ANFIS-Based Model for Improved Paraphrase Rating Prediction -- Contextual Bandit for Active Learning: Active Thompson Sampling -- Choosing the Best Auto-encoder-based Bagging Classifier: An Empirical Study -- Classification of fMRI Data in the NeuCube Evolving Spiking Neural Network Architecture -- A hybrid approach to pixel data mining -- A Novel SOH Prediction Framework for the Lithium-ion Battery using Echo State Network -- Significance of Non-edge Priors in Gene Regulatory Network Reconstruction -- Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus -- Learning Local Receptive Fields in Deep Belief Networks for Visual Feature Detection -- Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography -- Text Categorization Using an Automatically Generated Labelled Dataset: An Evaluation Study -- Online Recommender System Based on Social Network Regularization -- A Nonlinear Cross-site Transfer Learning Approach for Recommender Systems -- Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG -- A Fast Neural-Dynamical Approach to Scale-Invariant Object Detection -- Improving Quantization Quality in Brain-inspired Self-organization for Non-stationary Data Spaces -- Utilizing High-Dimensional Neural Networks for Pseudo-Orthogonalization of Memory Patterns -- Adaptive Noise Schedule for Denoising Autoencoder -- Modeling Bi-Directional Tree Contexts by Generative Transductions.-A Novel Architecture for Capturing Discrete Sequences Using Self-Organizing Maps.-An Improved Gbest Guided Artificial Bee Colony Algorithm for Classification and Prediction Tasks -- Artifact Removal from EEG using a Multi-Objective Independent Component Analysis Model.-Cooperative Feature Level Data Fusion For Authentication Using Neural Networks.-Fuzzy Output Error as the Performance Function for Training Artificial Neural Networks to Predict Reading Comprehension from Eye Gaze.-Part-based Tracking with Appearance Learning and Structural Constrains Estimation of Hidden Markov Chains by a Neural Network.-Corporate Leaders Analytics and Network System (CLANS): Constructing and Mining Social Networks among Corporations and Business Elites in China.-Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm.
Record Nr. UNISA-996213647103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XX, 706 p. 301 illus.)
Disciplina 006.32
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Computer vision
Artificial intelligence
Computer science
Data mining
Automated Pattern Recognition
Computer Vision
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
ISBN 3-319-12643-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Signal and Image Processing -- Real Time Crowd Counting with Human Detection and Human Tracking -- A new method for removing random-valued impulse noise -- CTR Prediction for DSP with Improved Cube Factorization Model from Historical Bidding Log -- Image Retrieval using a Novel Color Similarity Measurement and Neural Networks -- Bottom-Up Visual Saliency Using Binary Spectrum of Walsh-Hadamard Transform -- Sonification for EEG Frequency Spectrum and EEG-based Emotion Features -- Forecasting Crowd State in Video by an improved Lattice Boltzmann Model Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems -- Calibrating Independent Component Analysis with Laplacian Reference for Real-time EEG Artifact Removal -- Unsupervised Segmentation Using Cluster Ensembles -- Similar-video retrieval via learned exemplars and time-warped alignment -- Automatic Image Annotation Exploiting Textual and Visual Saliency -- Classification of fish ectoparasite genus Gyrodactylus SEM images using ASM and complex network model. Linked Tucker2 decomposition for flexible multi-block data analysis -- Celebrity Face Image Retrieval Using Multiple Features -- A Novel Adaptive Shrinkage Threshold on Shearlet Transform for Image Denoising Perception of Symmetry in Natural Images --- A Cortical Representation of Shape -- Image Denoising with Rectified Linear Units -- Shape Preserving RGB-D Depth Map Restoration -- Online Detection of Concept Drift in Visual Tracking -- Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials -- Interactive Color Correction of Display by Dichromatic User -- A Neural Ensemble Approach for Segmentation and Classification of Road Images -- Using Biologically-Inspired Visual Features To Model The Restorative Potential Of Scenes -- Classification of Stroke Patients' Motor Imagery EEG with Autoencoders in BCI-FES Rehabilitation Training System -- Real-time Patch-based Tracking With Occlusion Handling -- Blood Cell Image Retrieval System using Color, Shape and Bag of Words -- Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer -- Online Object Tracking based on Depth Image with Sparse Coding -- Real-time compressive tracking with a particle filter framework -- Image Super-Resolution with Fast Approximate Convolutional Sparse Coding -- Sparse Coding for Improved Signal-to-Noise Ratio in MRI -- Scalable Video Coding Using Hybrid DCT/Wavelets Architectures -- Image Enhancement using Geometric Mean Filter and Gamma Correction for WCE Images -- Autoencoder Based Collaborative Filtering -- Extended Laplacian Sparse Coding for Image Categorization -- Special Session: The 2014 Cybersecurity Data Mining Competition and Workshop (CDMC2014) -- Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method -- Quantum Inspired Evolutionary Algorithm by representing Candidate Solution as Normal Distribution -- Text Categorization with Diversity Random Forests -- Unknown Attack Detection by Multistage One-Class SVM Focusing on Communication Interval -- "Analysis and Configuration of Boundary -- Difference Calculations" -- Morphological Associative Memory Employing a Split Store Method -- A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks -- A Classification Method of Darknet Traffic for Advanced Security Monitoring and Response -- Detecting Malicious Spam Mails: An Online Machine Learning Approach -- Special Session: Intelligent Systems for Supporting Decision-Making Processes - Theories and Applications -- Freshness-Aware Thompson Sampling -- Condition monitoring of broken rotor bars using a hybrid FMM-GA model -- Employing Genetic Algorithm to Construct Epigenetic Tree-based Features for Enhancer Region Prediction -- Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making -- A Fuzzy ART-based Approach for Estimation of High Performance Concrete Mix Proportion -- A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology -- An Application of Fuzzy Adaptive Resonance Theory to Engineering Education -- Augmented Query Strategies for Active Learning in Stream Data Mining -- Feature Selection and Mass Classification Using Particle Swarm Optimization and Support Vector Machine -- Strategic decision support in waste management systems by state reduction in FCM models An ELM Based Multi Agent Systems Using Certified Belief in Strength -- Constrained–Optimization-Based Bayesian Posterior Probability Extreme Learning Machine For Pattern Classification -- Special Session: Neuroengineering and Neuralcomputing -- Adaptive Translational Cueing Motion Algorithm Using Fuzzy Based Tilt Coordination -- Adaptive Washout Algorithm Based Fuzzy Tuning for Improving Human Perception -- Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects Neuron's Spikes Noise Level Classification using Hidden Markov Models -- Improved Robust Kalman Filtering for Uncertain Systems with Missing Measurements -- Motor Imagery Data Classification for BCI Application using Wavelet Packet Feature Extraction -- Adaptive-Multi-Reference Least Means Squares Filter -- sEMG-Based Single-Joint Active Training with iLeg---a Horizontal Exoskeleton for Lower Limb Rehabilitation.-Special Session: Cognitive Robotics -- Find rooms for improvement: Towards semi-automatic labeling of occupancy grid maps -- Understanding Dynamic Environments with Fuzzy Perception -- Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention -- On the role of working memory in trading-off skills and situation awareness in Sudoku -- GA-Tetris Bot: Evolving a Better Tetris Gameplay using Adaptive Evaluation Scheme -- An Effectiveness of Model-Based Development with User Model in Consideration of Human -- Dynamic Programming for Guided Gene Transfer in Bacterial Memetic Algorithm -- Topological Adaptive Resonance Associative Memory with Fuzzy Motion Planning for Place Navigation -- Special Session: Security in Signal Processing and Machine Learning -- Predicting Mobile Subscriber’s Behaviour from SMS-Based Contextual Information Extraction -- Discovering Plain-Text-Described Services Based on Ontology Learning -- A Fuzzy VSM-based Approach for Semantic Service Retrieval -- Maintaining Trust in Cloud by SLA Monitoring.
Record Nr. UNISA-996213646903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XX, 706 p. 301 illus.)
Disciplina 006.32
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Computer vision
Artificial intelligence
Computer science
Data mining
Automated Pattern Recognition
Computer Vision
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
ISBN 3-319-12643-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Signal and Image Processing -- Real Time Crowd Counting with Human Detection and Human Tracking -- A new method for removing random-valued impulse noise -- CTR Prediction for DSP with Improved Cube Factorization Model from Historical Bidding Log -- Image Retrieval using a Novel Color Similarity Measurement and Neural Networks -- Bottom-Up Visual Saliency Using Binary Spectrum of Walsh-Hadamard Transform -- Sonification for EEG Frequency Spectrum and EEG-based Emotion Features -- Forecasting Crowd State in Video by an improved Lattice Boltzmann Model Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems -- Calibrating Independent Component Analysis with Laplacian Reference for Real-time EEG Artifact Removal -- Unsupervised Segmentation Using Cluster Ensembles -- Similar-video retrieval via learned exemplars and time-warped alignment -- Automatic Image Annotation Exploiting Textual and Visual Saliency -- Classification of fish ectoparasite genus Gyrodactylus SEM images using ASM and complex network model. Linked Tucker2 decomposition for flexible multi-block data analysis -- Celebrity Face Image Retrieval Using Multiple Features -- A Novel Adaptive Shrinkage Threshold on Shearlet Transform for Image Denoising Perception of Symmetry in Natural Images --- A Cortical Representation of Shape -- Image Denoising with Rectified Linear Units -- Shape Preserving RGB-D Depth Map Restoration -- Online Detection of Concept Drift in Visual Tracking -- Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials -- Interactive Color Correction of Display by Dichromatic User -- A Neural Ensemble Approach for Segmentation and Classification of Road Images -- Using Biologically-Inspired Visual Features To Model The Restorative Potential Of Scenes -- Classification of Stroke Patients' Motor Imagery EEG with Autoencoders in BCI-FES Rehabilitation Training System -- Real-time Patch-based Tracking With Occlusion Handling -- Blood Cell Image Retrieval System using Color, Shape and Bag of Words -- Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer -- Online Object Tracking based on Depth Image with Sparse Coding -- Real-time compressive tracking with a particle filter framework -- Image Super-Resolution with Fast Approximate Convolutional Sparse Coding -- Sparse Coding for Improved Signal-to-Noise Ratio in MRI -- Scalable Video Coding Using Hybrid DCT/Wavelets Architectures -- Image Enhancement using Geometric Mean Filter and Gamma Correction for WCE Images -- Autoencoder Based Collaborative Filtering -- Extended Laplacian Sparse Coding for Image Categorization -- Special Session: The 2014 Cybersecurity Data Mining Competition and Workshop (CDMC2014) -- Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method -- Quantum Inspired Evolutionary Algorithm by representing Candidate Solution as Normal Distribution -- Text Categorization with Diversity Random Forests -- Unknown Attack Detection by Multistage One-Class SVM Focusing on Communication Interval -- "Analysis and Configuration of Boundary -- Difference Calculations" -- Morphological Associative Memory Employing a Split Store Method -- A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks -- A Classification Method of Darknet Traffic for Advanced Security Monitoring and Response -- Detecting Malicious Spam Mails: An Online Machine Learning Approach -- Special Session: Intelligent Systems for Supporting Decision-Making Processes - Theories and Applications -- Freshness-Aware Thompson Sampling -- Condition monitoring of broken rotor bars using a hybrid FMM-GA model -- Employing Genetic Algorithm to Construct Epigenetic Tree-based Features for Enhancer Region Prediction -- Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making -- A Fuzzy ART-based Approach for Estimation of High Performance Concrete Mix Proportion -- A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology -- An Application of Fuzzy Adaptive Resonance Theory to Engineering Education -- Augmented Query Strategies for Active Learning in Stream Data Mining -- Feature Selection and Mass Classification Using Particle Swarm Optimization and Support Vector Machine -- Strategic decision support in waste management systems by state reduction in FCM models An ELM Based Multi Agent Systems Using Certified Belief in Strength -- Constrained–Optimization-Based Bayesian Posterior Probability Extreme Learning Machine For Pattern Classification -- Special Session: Neuroengineering and Neuralcomputing -- Adaptive Translational Cueing Motion Algorithm Using Fuzzy Based Tilt Coordination -- Adaptive Washout Algorithm Based Fuzzy Tuning for Improving Human Perception -- Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects Neuron's Spikes Noise Level Classification using Hidden Markov Models -- Improved Robust Kalman Filtering for Uncertain Systems with Missing Measurements -- Motor Imagery Data Classification for BCI Application using Wavelet Packet Feature Extraction -- Adaptive-Multi-Reference Least Means Squares Filter -- sEMG-Based Single-Joint Active Training with iLeg---a Horizontal Exoskeleton for Lower Limb Rehabilitation.-Special Session: Cognitive Robotics -- Find rooms for improvement: Towards semi-automatic labeling of occupancy grid maps -- Understanding Dynamic Environments with Fuzzy Perception -- Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention -- On the role of working memory in trading-off skills and situation awareness in Sudoku -- GA-Tetris Bot: Evolving a Better Tetris Gameplay using Adaptive Evaluation Scheme -- An Effectiveness of Model-Based Development with User Model in Consideration of Human -- Dynamic Programming for Guided Gene Transfer in Bacterial Memetic Algorithm -- Topological Adaptive Resonance Associative Memory with Fuzzy Motion Planning for Place Navigation -- Special Session: Security in Signal Processing and Machine Learning -- Predicting Mobile Subscriber’s Behaviour from SMS-Based Contextual Information Extraction -- Discovering Plain-Text-Described Services Based on Ontology Learning -- A Fuzzy VSM-based Approach for Semantic Service Retrieval -- Maintaining Trust in Cloud by SLA Monitoring.
Record Nr. UNINA-9910484088603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XXXIV, 635 p. 258 illus.)
Disciplina 006.32
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Computer vision
Artificial intelligence
Computer science
Data mining
Automated Pattern Recognition
Computer Vision
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
ISBN 3-319-12637-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cognitive Science.-Transfer Entropy and Information Flow Patterns in Functional Brain Networks during Cognitive Activity -- Human Implicit Intent Discrimination Using EEG and Eye Movement -- Towards Establishing Relationships Between Human Arousal level and Motion Mass -- Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites -- Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning -- An Agent Response System based on Mirror Neuron and Theory of Mind -- Dynamic of Nitric Oxide Diffusion in Volume Transmission: Model and Validation -- A Computational Model of the Relation Between Regulation of Negative Emotions and Mood -- Neural Networks and Learning Systems - Theory and Design -- Low-cost Representation for Restricted Boltzmann Machines -- Add-if-Silent Rule for Training Multi-layered Convolutional Network Neocognitron -- Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework Including Unlabeled Samples Distribution into Decision -- Computational Model of Neocortical Learning Process: Prototype -- Active Learning with Maximum Density and Minimum Redundancy -- One-to-Many Association Ability of Chaotic Quaternionic Multidirectional Associative Memory -- An Entropy-guided Adaptive Co-construction Method of State and Action Spaces in Reinforcement Learning -- A Nodes Reduction Procedure for RBFNDDA through Histogram -- Toroidal approximate identity neural networks are universal approximators -- Self-Organizing Neural Grove -- Transfer learning using the Online FMM model -- A supervised methodology to measure the variables contribution to a clustering -- Coupling between spatial consistency of neural ring and local eld potential coherence: A computational study -- Fading channel prediction based on self-optimizing neural networks -- Invariant Multiparameter Sensitivity of Oscillator Network -- Spatial-Temporal Saliency Feature Extraction For Robust Mean-Shift Tracker -- BOOSTRON: Boosting Based Perceptron Learning -- G-Stream: Growing Neural Gas over Data Stream -- Combining Active Learning and Semi-Supervised Learning Using Local and Global Consistency -- Complex-Valued Neural Networks -- Recent Progress and Future Directions -- A Cascade System of Simple Dynamic Binary Neural Networks and Its Sparsification -- A Model of V4 Neurons Based on Sparse Coding -- A fast and memory-efficient hierarchical graph clustering algorithm -- Hopfield-Type Associative Memory with Sparse Modular Networks -- Concept Drift Detection based on Anomaly Analysis -- Online learning for faulty RBF networks with the concurrent fault -- The Performance of the Stochastic DNN-kWTA network -- Modularity maximization adjusted by neural networks -- A dynamic pruning strategy for incremental learning on a budget -- Neural Computing with Concurrent Synchrony -- A Line-partitioned Heteroassociative Memory for Storing Binary Fresnel Hologram -- A Unified Framework for Privacy Preserving Data Clustering -- Spiking Neural Network with Lateral Inhibition for Reward-based Associative Learning -- Fuzzy Signature Neural Networks for Classification: Optimising the Structure -- Self-Organizing Map-based Probabilistic Associative Memory -- Neural Networks and Learning Systems – Applications -- A Causal Model for Disease Pathway Discovery -- Enhanced Non-linear Features for On-line Handwriting Recognition Using Deep Learning -- Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks -- A Neural Networks Committee for the Contextual Bandit Problem -- Multi-step Predictions of Landslide Displacements based on Echo State Network -- Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks -- ANFIS-Based Model for Improved Paraphrase Rating Prediction -- Contextual Bandit for Active Learning: Active Thompson Sampling -- Choosing the Best Auto-encoder-based Bagging Classifier: An Empirical Study -- Classification of fMRI Data in the NeuCube Evolving Spiking Neural Network Architecture -- A hybrid approach to pixel data mining -- A Novel SOH Prediction Framework for the Lithium-ion Battery using Echo State Network -- Significance of Non-edge Priors in Gene Regulatory Network Reconstruction -- Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus -- Learning Local Receptive Fields in Deep Belief Networks for Visual Feature Detection -- Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography -- Text Categorization Using an Automatically Generated Labelled Dataset: An Evaluation Study -- Online Recommender System Based on Social Network Regularization -- A Nonlinear Cross-site Transfer Learning Approach for Recommender Systems -- Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG -- A Fast Neural-Dynamical Approach to Scale-Invariant Object Detection -- Improving Quantization Quality in Brain-inspired Self-organization for Non-stationary Data Spaces -- Utilizing High-Dimensional Neural Networks for Pseudo-Orthogonalization of Memory Patterns -- Adaptive Noise Schedule for Denoising Autoencoder -- Modeling Bi-Directional Tree Contexts by Generative Transductions.-A Novel Architecture for Capturing Discrete Sequences Using Self-Organizing Maps.-An Improved Gbest Guided Artificial Bee Colony Algorithm for Classification and Prediction Tasks -- Artifact Removal from EEG using a Multi-Objective Independent Component Analysis Model.-Cooperative Feature Level Data Fusion For Authentication Using Neural Networks.-Fuzzy Output Error as the Performance Function for Training Artificial Neural Networks to Predict Reading Comprehension from Eye Gaze.-Part-based Tracking with Appearance Learning and Structural Constrains Estimation of Hidden Markov Chains by a Neural Network.-Corporate Leaders Analytics and Network System (CLANS): Constructing and Mining Social Networks among Corporations and Business Elites in China.-Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm.
Record Nr. UNINA-9910484128103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Neural Information Processing [[electronic resource] ] : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II / / edited by Chu Kiong Loo, Yap Keem Siah, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVIII, 603 p. 80 illus.)
Disciplina 004
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Computer vision
Artificial intelligence
Computer science
Data mining
Automated Pattern Recognition
Computer Vision
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
ISBN 3-319-12640-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Kernel and Statistical Methods -- A New Ensemble Clustering Method based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling -- Extraction of Dimension Reduced Features from Empirical Kernel Vector -- Method of Evolving Non-stationary Multiple Kernel Learning -- A kernel method to extract common features based on mutual information -- Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers -- Non-Monotonic Feature Selection for Regression -- Non-negative Matrix Factorization with Schatten p-norms Reguralization -- A New Energy Model for the Hidden Markov Random Fields -- Online nonlinear Granger causality detection by quantized kernel least mean square -- A Computational Model of Anti-Bayesian Sensory Integration in the Size-Weight Illusion -- Unsupervised Dimensionality Reduction for Gaussian Mixture Model -- Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions -- Texture analysis based automated decision support System for classification of Skin Cancer using SA-SVM -- In-attention State Monitoring for a Driver Based On Head Pose and Eye Blinking Detection Using One Class Support Vector Machine -- An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices -- Fine-Grained Air Quality Monitoring Based on Gaussian Process Regression -- Retrieval of Experiments by Efficient Estimation of Marginal Likelihood -- Evolutionary Computation and Hybrid Intelligent Systems -- A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adaptive Mutation -- Data Clustering Based on Particle Swarm Optimization with Neighborhood Search and Cauchy Mutation -- Accuracy Improvement of Localization and Mapping of ICP-SLAM Via Competitive Associative Nets and Leave-One-Out Cross-Validation -- Saliency Level Set Evolution -- Application of Cuckoo Search for Design Optimization of Heat Exchangers -- A Hybrid Method to Improve the Reduction of Ballistocardiogram Artifact from EEG Data -- VLGAAC: Variable Length Genetic Algorithm based Alternative Clustering -- Social Book Search with Pseudo-Relevance Feedback -- A Random Key Genetic Algorithm for Live Migration of Multiple Virtual Machines in Data Centers -- Collaboration of the Radial Basis ART and PSO in Multi-Solution Problems of the Henon Map -- Reconstructing Gene Regulatory Network with Enhanced Particle Swarm Optimization -- Neural Network Training by Hybrid Accelerated Cuckoo Particle Swarm Optimization Algorithm -- An Accelerated Particle Swarm Optimization Based Levenberg Marquardt Back Propagation Algorithm -- Fission-and-Recombination Particle Swarm Optimizers for Search of Multiple Solutions -- Fast Generalized Fuzzy C-means Using Particle Swarm Optimization for Image Segmentation -- Evolutionary Learning and Stability of Mixed-Rule Cellular Automata -- Pattern Recognition Techniques -- Radical-Enhanced Chinese Character Embedding -- Conditional Multidimensional Parameter Identification with Asymmetric Correlated Losses of Estimation Errors -- Short Text Hashing Improved by Integrating Topic Features and Tags -- Synthetic test data generation for hierarchical graph clustering methods -- Optimal Landmark Selection for Nystrom Approximation -- Privacy Preserving Clustering: A k-Means Type Extension -- Stream Quantiles via Maximal Entropy Histograms -- A Unified Framework for Thermal Face Recognition -- Geometric Feature-based Facial Emotion Recognition using Two-Stage Fuzzy Reasoning Model -- Human Activity Recognition by Matching Curve Shapes -- Sentiment Analysis of Chinese Microblogs Based on Layered Features -- Feature group weighting and topological biclustering -- A Label Completion Approach to Crowd Approximation -- Multi-label Linear Discriminant Analysis with Locality Consistency -- Hashing for Financial Credit Risk Analysis -- MAP Inference with MRF by Graduated Non-Convexity and Concavity Procedure -- Two-Phase Approach to Link Prediction -- Properties of Direct Multi-Step Ahead Prediction of Chaotic Time Series and Out-of-Bag Estimate for Model Selection -- Multi-document Summarization based on Sentence Clustering -- An Ontology-based Approach to Query Suggestion Diversification -- Sensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control -- Segmenting Webpage using Ontology and Word Matching for segments detection -- Continuity of Discrete-time Fuzzy Systems -- Sib-based Survival Selection Technique for Protein Structure Prediction in 3D-FCC lattice Model -- Tensor Completion based on Structural Information -- Document Versioning Using Feature Space Distances -- Separation and Classication of Crackles and Bronchial Breath sounds from Normal Breath Sounds Using Gaussian Mixture Model -- Combined Features for Face Recognition in Surveillance Conditions -- Sparse Coding on Multiple Manifold Data -- Mutual Information Estimation with Random Forests -- Out-of-vocabulary Words Recognition Based on Conditional Random Field in Electronic Commerce -- Least angle regression in orthogonal case -- Evaluation Protocol of Early Classifiers Over Multiple Data Sets -- Exploiting Level-Wise Category Links for Semantic Relatedness Computing -- Characteristic Prediction of A Varistor in Overvoltage Protection Application -- Optimizing Complex Building Renovation Process with Fuzzy Signature State Machines -- News classification with Auxiliary Long Texts -- Modelling Mediator Intervention in Joint Decision Making Processes Involving Mutual Empathic Understanding.
Record Nr. UNINA-9910485035703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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