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Biblioteca

MARC Lista (tabellare)
Advances in Neural Networks – ISNN 2018 [[electronic resource] ] : 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25–28, 2018, Proceedings / / edited by Tingwen Huang, Jiancheng Lv, Changyin Sun, Alexander V. Tuzikov
Advances in Neural Networks – ISNN 2018 [[electronic resource] ] : 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25–28, 2018, Proceedings / / edited by Tingwen Huang, Jiancheng Lv, Changyin Sun, Alexander V. Tuzikov
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIX, 872 p. 350 illus.)
Disciplina 006.32
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Artificial intelligence
Computer vision
Algorithms
Computers, Special purpose
Data protection
Automated Pattern Recognition
Artificial Intelligence
Computer Vision
Special Purpose and Application-Based Systems
Data and Information Security
ISBN 3-319-92537-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cognition computation -- Models, methods and algorithms -- Clustering, classifiation, learning, and forecasting -- Neurodynamics, complex systems, and chaos -- Multi-agent systems and game theory -- Signal, image and video processing -- Intelligent control, robotics and hardware -- Bio-signal, bioinformatics and biomedical engineering.
Record Nr. UNISA-996465781503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Neural Networks – ISNN 2018 [[electronic resource] ] : 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25–28, 2018, Proceedings / / edited by Tingwen Huang, Jiancheng Lv, Changyin Sun, Alexander V. Tuzikov
Advances in Neural Networks – ISNN 2018 [[electronic resource] ] : 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25–28, 2018, Proceedings / / edited by Tingwen Huang, Jiancheng Lv, Changyin Sun, Alexander V. Tuzikov
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIX, 872 p. 350 illus.)
Disciplina 006.32
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Artificial intelligence
Computer vision
Algorithms
Computers, Special purpose
Data protection
Automated Pattern Recognition
Artificial Intelligence
Computer Vision
Special Purpose and Application-Based Systems
Data and Information Security
ISBN 3-319-92537-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cognition computation -- Models, methods and algorithms -- Clustering, classifiation, learning, and forecasting -- Neurodynamics, complex systems, and chaos -- Multi-agent systems and game theory -- Signal, image and video processing -- Intelligent control, robotics and hardware -- Bio-signal, bioinformatics and biomedical engineering.
Record Nr. UNINA-9910349427903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms [[electronic resource] /] / by Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren
Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms [[electronic resource] /] / by Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren
Autore Wang Jin-Liang
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIII, 220 p. 43 illus., 41 illus. in color.)
Disciplina 629.8
Soggetto topico Control engineering
Neural networks (Computer science) 
Artificial intelligence
Statistical physics
Dynamical systems
Control and Systems Theory
Mathematical Models of Cognitive Processes and Neural Networks
Artificial Intelligence
Complex Systems
ISBN 981-10-4907-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Pinning control strategies for synchronization of Coupled Reaction-Diffusion Neural Networks -- Pinning control for synchronization of Coupled Reaction-Diffusion Neural Networks with directed topologies -- Impulsive control for the synchronization of Coupled Reaction-Diffusion Neural Networks -- Novel adaptive strategies for synchronization of Coupled Reaction-Diffusion Neural Networks -- Synchronization and adaptive control of Coupled Reaction-Diffusion Neural Networks with hybrid coupling -- Passivity-based synchronization of Coupled Reaction-Diffusion Neural Networks with time-varying delay -- Passivity and synchronization of Coupled Reaction-Diffusion Neural Networks with adaptive coupling -- Passivity analysis of Coupled Reaction-Diffusion Neural Networks with Dirichlet boundary conditions -- Passivity of directed and undirected Coupled Reaction-Diffusion Neural Networks with adaptive coupling weights.
Record Nr. UNINA-9910299571103321
Wang Jin-Liang  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Analysis and Control of Output Synchronization for Complex Dynamical Networks [[electronic resource] /] / by Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren
Analysis and Control of Output Synchronization for Complex Dynamical Networks [[electronic resource] /] / by Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren
Autore Wang Jin-Liang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (225 pages)
Disciplina 003
Soggetto topico Engineering
Control and Systems Theory
Complexity
Mathematical Modeling and Industrial Mathematics
ISBN 981-13-1352-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Output Synchronization Criteria for Impulsive CDNs with Time-varying Delay -- Passivity and Output Synchronization of CDNs with Fixed and Adaptive Coupling Strength -- Analysis and Control of Output Synchronization in Directed and Undirected CDNs -- Output Synchronization in CNNs with and without External Disturbances -- Local and Global Exponential Output Synchronization of CDDNs -- Adaptive output synchronization of CDDNs with output coupling -- Pinning Synchronization of CDNs With Multi-Weights -- Analysis and Pinning Control for Output Synchronization and H-Infinity Output Synchronization of Multi-weighted Complex Networks.
Record Nr. UNINA-9910484719403321
Wang Jin-Liang  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Distributed Optimization: Advances in Theories, Methods, and Applications [[electronic resource] /] / by Huaqing Li, Qingguo Lü, Zheng Wang, Xiaofeng Liao, Tingwen Huang
Distributed Optimization: Advances in Theories, Methods, and Applications [[electronic resource] /] / by Huaqing Li, Qingguo Lü, Zheng Wang, Xiaofeng Liao, Tingwen Huang
Autore Li Huaqing
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVIII, 243 p. 64 illus., 42 illus. in color.)
Disciplina 519.3
Soggetto topico Control engineering
Mathematical optimization
Computers
Control and Systems Theory
Optimization
Information Systems and Communication Service
ISBN 981-15-6109-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Convergence of Distributed Accelerated Algorithm over Unbalanced Directed Networks -- Geometrical Convergence Rate for Distributed Optimization with Time-Varying Directed Graphs and Uncoordinated Step-Sizes -- Distributed Constrained Optimization over Unbalanced Directed Networks Using Asynchronous Broadcast-Based Algorithm -- Distributed Consensus Optimization in Multi-Agent Networks with Time-Varying Directed Topologies and Quantized Communication -- Event-Triggered Communication and Data Rate Constraint for Distributed Optimization of Multi-Agent Systems -- Random Sleep Scheme Based Distributed Optimization Algorithm over Unbalanced Time-Varying Networks -- Edge-Based Stochastic Gradient Algorithm for Distributed Optimization -- Distributed Robust Algorithm for Economic Dispatch in Smart Grids over General Unbalanced Directed Networks -- Distributed Event-Triggered Scheme for Economic Dispatch in Power Systems with Uncoordinated Step-Sizes.
Record Nr. UNISA-996418264003316
Li Huaqing  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Distributed Optimization: Advances in Theories, Methods, and Applications [[electronic resource] /] / by Huaqing Li, Qingguo Lü, Zheng Wang, Xiaofeng Liao, Tingwen Huang
Distributed Optimization: Advances in Theories, Methods, and Applications [[electronic resource] /] / by Huaqing Li, Qingguo Lü, Zheng Wang, Xiaofeng Liao, Tingwen Huang
Autore Li Huaqing
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVIII, 243 p. 64 illus., 42 illus. in color.)
Disciplina 519.3
Soggetto topico Control engineering
Mathematical optimization
Computers
Control and Systems Theory
Optimization
Information Systems and Communication Service
ISBN 981-15-6109-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Convergence of Distributed Accelerated Algorithm over Unbalanced Directed Networks -- Geometrical Convergence Rate for Distributed Optimization with Time-Varying Directed Graphs and Uncoordinated Step-Sizes -- Distributed Constrained Optimization over Unbalanced Directed Networks Using Asynchronous Broadcast-Based Algorithm -- Distributed Consensus Optimization in Multi-Agent Networks with Time-Varying Directed Topologies and Quantized Communication -- Event-Triggered Communication and Data Rate Constraint for Distributed Optimization of Multi-Agent Systems -- Random Sleep Scheme Based Distributed Optimization Algorithm over Unbalanced Time-Varying Networks -- Edge-Based Stochastic Gradient Algorithm for Distributed Optimization -- Distributed Robust Algorithm for Economic Dispatch in Smart Grids over General Unbalanced Directed Networks -- Distributed Event-Triggered Scheme for Economic Dispatch in Power Systems with Uncoordinated Step-Sizes.
Record Nr. UNINA-9910483256103321
Li Huaqing  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Neural Information Processing [[electronic resource] ] : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings Part III / / edited by Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu
Neural Information Processing [[electronic resource] ] : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings Part III / / edited by Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVII, 710 p. 250 illus. in color.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Computer vision
Artificial intelligence
Computer science
Data mining
Application software
Automated Pattern Recognition
Computer Vision
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
Computer and Information Systems Applications
ISBN 3-319-26555-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part III -- Design of an Adaptive Support Vector Regressor Controller for a Spherical Tank System -- 1 Introduction -- 2 Adaptive Online SVR Controller -- 3 Online -SVR for Controller Design -- 4 Simulation Results -- 5 Conclusion -- References -- Robust Tracking Control of Uncertain Nonlinear Systems Using Adaptive Dynamic Programming -- 1 Introduction -- 2 Preliminaries -- 3 Problem Transformation -- 4 Approximate the HJB Solution via ADP -- 5 Simulation Results -- 6 Conclusions -- References -- Moving Target Tracking Based on Pulse Coupled Neural Network and Optical Flow -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Optical Flow -- 2.2 Pulse-Coupled Neural Network -- 2.3 PCNN Fusion Based on Optical Flow -- 2.4 Topological Property -- 3 Algorithm Structure -- 4 Experimental Results -- 4.1 Database -- 4.2 Attention Detection Effects -- 4.3 Comparison of Attention Detection Models -- 5 Conclusion -- References -- Efficient Motor Babbling Using Variance Predictions from a Recurrent Neural Network -- 1 Introduction -- 2 Exploratory Motor Babbling -- 2.1 Stochastic Continuous Time-Scales Recurrent Neural Networks -- 2.2 Learning Process of Exploratory Motor Babbling -- 3 Experimental Setup -- 3.1 Robot Model in Simulation -- 3.2 Design of Motor Babbling -- 3.3 Experimental Evaluation -- 4 Experimental Results and Discussion -- 5 Conclusion -- References -- Distributed Control for Nonlinear Time-Delayed Multi-Agent Systems with Connectivity Preservation Using Neural Networks -- 1 Introduction -- 2 Preliminaries -- 2.1 Graph Theory -- 2.2 Radial Basis Function Neural Network -- 2.3 Problem Statement -- 3 Distributed Control for Nonlinear Time-Delayed Multi-Agent Systems -- 4 Simulation Example -- 5 Conclusion -- References.
Coevolutionary Recurrent Neural Networks for Prediction of Rapid Intensification in Wind Intensity of Tropical Cyclones in the South Pacific Region -- 1 Introduction -- 2 Coevolutionary Recurrent Networks for Rapid Intensification -- 2.1 Recurrent Network Architecture -- 2.2 Cooperative Neuro-Evolutionary Recurrent Networks -- 2.3 Application Problem: Rapid intensification in Cyclones -- 3 Experiments and Results -- 3.1 Analysis of the Dataset -- 3.2 Data Pre-processing -- 3.3 Results -- 3.4 Discussion -- 4 Conclusions and Future Work -- References -- Nonlinear Filtering Based on a Network with Gaussian Kernel Functions -- 1 Introduction -- 2 Nonlinear Filters for Signal Enhancement -- 3 Phase Space Analysis of Noisy Signals -- 4 Nonlinear Filters with Gaussian Kernel Functions -- 5 Simulation -- 6 Conclusion -- References -- Computing Skyline Probabilities on Uncertain Time Series -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Background of Skyline Queries -- 3.1 Skylines on Certain Time Series -- 3.2 Skylines on Uncertain Time Series -- 4 Probabilistic Skyline Answering Algorithm -- 4.1 Obtaining the Skyline -- 4.2 Computing the Skyline Probability -- 5 Experiment Study -- 6 Conclusions -- References -- Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizons for Obtaining Plausible Predictions -- 1 Introduction -- 2 Probabilistic Prediction of Chaotic Time Series -- 2.1 Point Prediction of Chaotic Time Series -- 2.2 Probabilistic Prediction -- 3 Numerical Experiments and Analysis -- 3.1 Experimental Settings -- 3.2 Results and Analysis -- 4 Conclusion -- A CAN2 -- References -- Adaptive Threshold for Anomaly Detection Using Time Series Segmentation -- 1 Introduction -- 2 Segmentation and Anomaly Detection -- 3 Adaptive Threshold for Anomaly Detection (ATAD).
3.1 Adaptive Piecewise Constant Approximation -- 3.2 Description of the Method -- 3.3 Numerical Experiments -- 4 Conclusion and Future Works -- References -- Neuron-Synapse Level Problem Decomposition Method for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- 1 Introduction -- 2 Neuron-Synapse Level Problem Decomposition -- 3 Experiments, Results and Discussion -- 3.1 Experimental Setup -- 3.2 Results -- 3.3 Discussion -- 4 Conclusions -- References -- Prediction Interval-Based Control of Nonlinear Systems Using Neural Networks -- 1 Introduction -- 2 PI-based Controller -- 3 Proposed Methodology -- 3.1 Feed-Forward NN Model -- 3.2 PI-based NN Model -- 3.3 PI-based NN Inverse Model (PIC) -- 4 Case Studies -- 5 Results and Discussion -- 6 Conclusion -- References -- Correcting a Class of Complete Selection Bias with External Data Based on Importance Weight Estimation -- 1 Introduction -- 2 Bias Correction -- 3 Experiments -- 3.1 Toy Problem -- 3.2 Real-World Data Sets -- 4 Discussion and Conclusion -- References -- Lagrange Programming Neural Network for the l1-norm Constrained Quadratic Minimization -- 1 Introduction -- 2 Background -- 3 LPNN for L1CQM -- 4 Properties of LPNN -- 5 Simulations -- 6 Conclusion -- References -- Multi-Island Competitive Cooperative Coevolution for Real Parameter Global Optimization -- 1 Introduction -- 2 Multi-Island Competitive Cooperative Coevolution -- 2.1 Initialization -- 2.2 Cooperative Coevolution -- 2.3 Competition -- 2.4 Collaboration - Solution Migration -- 3 Simulation and Analysis -- 3.1 Benchmark Problems and Configuration -- 3.2 Results and Analysis -- 3.3 Discussion -- 4 Conclusions and Future Work -- References -- Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Separable Continuous Functions -- 1 Introduction.
2 Competitive Island Cooperative Coevolution for Fully-Separable Continuous Functions -- 2.1 Initialization -- 2.2 Coevolution in CICC -- 2.3 Competition and Collaboration -- 3 Simulation and Analysis -- 3.1 Problem Decomposition Strategies -- 3.2 Benchmark Problems and Parameter Settings -- 4 Results and Analyses -- 4.1 Competition Between Same Problem Decomposition Strategies -- 4.2 Competition Between Different Problem Decomposition Strategies -- 5 Conclusions and Future Work -- References -- Topic Optimization Method Based on Pointwise Mutual Information -- Abstract -- 1 Introduction -- 2 LDA Based on Point-Wise Mutual Information (PMI-LDA) -- 2.1 Introduction of the LDA Topic Model -- 2.2 PMI-LDA Topic Model -- 3 Topic Evaluation -- 4 Experiments -- 5 Conclusion -- Acknowledgments -- References -- Optimization and Analysis of Parallel Back Propagation Neural Network on GPU Using CUDA -- Abstract -- 1 Introduction -- 2 Parallel Back Propagation Algorithm on GPU -- 3 Optimized Program Framework on GPU -- 4 Experimental Results and Discussion -- 4.1 Data Sets for Experiments -- 4.2 Results of Experiments -- 4.3 Discussion -- 5 Conclusions -- References -- Objective Function of ICA with Smooth Estimation of Kurtosis -- 1 Introduction -- 2 Derivation of Objective Function of ICA -- 2.1 Preliminaries -- 2.2 Estimation of True Distribution -- 2.3 Objective Function -- 3 Optimization Method -- 4 Results -- 5 Conclusion -- References -- FANet: Factor Analysis Neural Network -- 1 Introduction -- 2 Unsupervised Feature Learning via FANet -- 2.1 Normalizing the Input Data -- 2.2 Convolution Layers -- 2.3 Pooling Layers -- 2.4 Analytical Characterization of FANet -- 3 Experiments -- 3.1 Facial Recognition on FERET -- 3.2 Handwritten Digit Recognition on MNIST and MNIST Variations -- 4 Conclusion -- References.
Oscillated Variable Neighborhood Search for Open Vehicle Routing Problem -- Abstract -- 1 Introduction -- 2 Proposed Algorithm -- 3 Experimental Results -- 4 Conclusion -- Acknowledgements -- References -- Non-Line-of-Sight Mitigation via Lagrange Programming Neural Networks in TOA-Based Localization -- 1 Introduction -- 2 Background -- 2.1 Problem Formulation -- 3 Algorithm Development -- 4 Simulation Results -- 5 Conclusion -- References -- Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators -- 1 Introduction -- 2 Wave-Based Reservoir Computing -- 3 Phase Dynamics of Coupled Oscillators -- 3.1 Phase Response Curves -- 3.2 Phase Synchronization -- 4 Function Approximation and Regression by Wave-Based Reservoir Computing -- 4.1 Function Approximation by Two Coupled Oscillators -- 4.2 Functional Regression by an Oscillator Reservoir -- 5 Conclusion -- References -- Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes -- 1 Introduction -- 2 Proposed Hybrid Controller -- 2.1 Fuzzy Logic Controller -- 2.2 NN-Based Internal Model Controller -- 2.3 Hybrid Controller -- 3 Methodology -- 3.1 Development of FLC -- 3.2 Development of NN-Based IMC -- 4 Case Study and Experimental Data -- 5 Results and Discussion -- 6 Conclusion -- References -- Comparative Study of Web-Based Gene Expression Analysis Tools for Biomarkers Identification -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Gene Expression Datasets -- 2.2 Web-Based Gene Expression Analysis Tools -- 2.3 Evaluation -- 3 Results and Discussion -- 3.1 Features Comparison -- 3.2 Gene Markers Comparison -- 3.3 Classification of Selected Gene Markers -- 4 Conclusion -- References -- Eye Can Tell: On the Correlation Between Eye Movement and Phishing Identification -- 1 Introduction -- 2 Related Work -- 3 Proposal -- 4 Experiment Setup.
5 Eye Movement Analysis.
Record Nr. UNISA-996466217203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Neural Information Processing [[electronic resource] ] : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part I / / edited by Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu
Neural Information Processing [[electronic resource] ] : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part I / / edited by Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVII, 742 p. 251 illus. in color.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Computer vision
Artificial intelligence
Computer science
Data mining
Application software
Automated Pattern Recognition
Computer Vision
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
Computer and Information Systems Applications
ISBN 3-319-26532-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Texture Classification with Patch Autocorrelation Features -- 1 Introduction -- 2 Related Work -- 3 Translation and Rotation Invariant Patch Autocorrelation Features -- 3.1 Texture Features -- 4 Texture Classification Experiments -- 4.1 Data Set -- 4.2 Learning Methods -- 4.3 Implementation and Evaluation -- 4.4 Parameter Tuning -- 4.5 Results on Brodatz Data Set -- 5 Conclusion -- References -- Novel Architecture for Cellular Neural Network Suitable for High-Density Integration of Electron Dev ... -- Abstract -- 1 Introduction -- 2 Device Architecture -- 2.1 Neuron -- 2.2 Synapse -- 2.3 Network -- 3 Learning Principle -- 4 Fabrication Process -- 5 Experimental Result -- 6 Conclusion -- References -- Analyzing the Impact of Feature Drifts in Streaming Learning -- 1 Introduction -- 2 Problem Statement -- 3 Simulating Feature Drifts -- 4 Analysis -- 4.1 Evaluated Algorithms -- 4.2 Experimental Protocol -- 4.3 Results Obtained -- 5 Conclusion -- References -- Non-linear Metric Learning Using Metric Tensor -- Abstract -- 1 Introduction -- 2 Theoretical Analysis -- 3 Problem Simplification -- 4 Algorithm -- 5 Experiment -- 5.1 Performance in Supervised Metric Learning -- 5.2 Application in Semi-supervised Clustering -- 6 Conclusion -- References -- An Optimized Second Order Stochastic Learning Algorithm for Neural Network Training -- 1 Introduction -- 2 Proposed Algorithm -- 2.1 Overview of Learning Algorithms -- 2.2 Stochastic Diagonal Levenberg-Marquardt Algorithm -- 2.3 Bounded SDLM Algorithm -- 3 Experimental Design -- 4 Results and Discussions -- 5 Conclusion and Future Works -- References -- Max-Pooling Dropout for Regularization of Convolutional Neural Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Max-Pooling Dropout -- 3.1 Max-Pooling Dropout at Training Time.
3.2 Probabilistic Weighted Pooling at Test Time -- 4 Empirical Evaluations -- 4.1 Probabilistic Weighted Pooling vs. (Scaled) Max-Pooling -- 4.2 Max-Pooling Dropout vs. Stochastic Pooling -- 5 Conclusions -- References -- Predicting Box Office Receipts of Movies with Pruned Random Forest -- 1 Introduction -- 2 Methodology -- 2.1 Movie Information Data Collection -- 2.2 Pruned Random Forest -- 2.3 Advice for Screen Schedule -- 3 Results -- 3.1 The Classification Performance of Pruned Random Forest -- 3.2 Comparison with Other Models -- 4 Conclusion -- References -- A Novel 1-graph Based Image Classification Algorithm -- 1 Introduction -- 2 Background -- 2.1 Sparse Representation Based Classification Algorithm -- 2.2 1-Graph -- 3 1-graph Based Image Classification Method -- 3.1 Relationship Between Training Samples and Classes -- 3.2 Classification Process -- 4 Experiment Results -- 4.1 Face Recognition -- 4.2 Handwritten Digit Recognition -- 5 Conclusion and Future Work -- References -- Classification of Keystroke Patterns for User Identification in a Pressure-Based Typing Biometrics S ... -- Abstract -- 1 Introduction -- 2 System Design -- 2.1 Force Sensor -- 2.2 Microprocessor Design with Arduino -- 3 Classification -- 3.1 Particle Swarm Optimization -- 3.2 K-Means -- 4 Experimental Setup and Results -- 5 Conclusions -- References -- Discriminative Orthonormal Dictionary Learning for Fast Low-Rank Representation -- 1 Introduction -- 2 Discriminative Orthonormal Dictionary Learning -- 2.1 Formulation -- 2.2 Optimization -- 3 Fast Low-Rank Representation -- 4 Experiments -- 4.1 Extended Yale B Dataset -- 4.2 AR Dataset -- 4.3 Caltech 101 Dataset -- 5 Conclusions -- References -- Supervised Topic Classification for Modeling a Hierarchical Conference Structure -- 1 Introduction -- 2 Supervised Classification, Flat Case -- 3 Topics Hierarchy.
4 Empirical Results -- 5 Conclusion -- References -- A Framework for Online Inter-subjects Classification in Endogenous Brain-Computer Interfaces -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Base Classifiers' Weights Initialization -- 2.2 Base Classifiers' Weights Adaptation Using Ensemble Predictions -- 2.3 Base Classifiers' Weights Adaptation Using Ensemble Predictions Reinforced by Interaction Error-Related Potentials -- 3 Experiments -- 3.1 EEG Data Sets -- 3.2 Procedure for Simulating IErrPs -- 3.3 Results -- 4 Conclusion -- References -- A Bayesian Sarsa Learning Algorithm with Bandit-Based Method -- 1 Introduction -- 2 Bayesian Sarsa -- 2.1 Q-values Distribution -- 2.2 Updating Q-Values -- 2.3 Actions Selection -- 3 Experimental Results -- 3.1 Gridworld -- 4 Conclusion -- References -- Incrementally Built Dictionary Learning for Sparse Representation -- 1 Introduction -- 2 Background on Dictionary Learning -- 3 Incrementally Built Dictionary Learning -- 3.1 Approach Description -- 3.2 Incremental Learning Rule -- 3.3 Sparse Coding-Based Feature Extraction -- 4 Experimentations -- 4.1 Digits Recognition -- 4.2 Face Recognition -- 4.3 The Effects of Incremental Learning -- 5 Conclusion -- References -- Learning to Reconstruct 3D Structure from Object Motion -- 1 Introduction -- 2 Related Work -- 3 DNN Based 3D Reconstruction Method -- 3.1 Reconstruction Unit -- 3.2 Deep Neural Network for 3D Reconstruction -- 3.3 Temporal Integration -- 4 Experiments -- 4.1 Data Generation -- 4.2 Reconstruction on Synthetic Images -- 4.3 Reconstruction on Real Images -- 5 Conclusions -- References -- Convolutional Networks Based Edge Detector Learned via Contrast Sensitivity Function -- 1 Introduction -- 2 The Model Architecture -- 2.1 Convolutional Networks -- 2.2 Multi-channel Structure -- 3 Training Data Generation and Annotation.
3.1 Training Data Generation -- 3.2 Training Data Annotation -- 4 Experiments -- 5 Conclusion -- References -- Learning Algorithms and Frame Signatures for Video Similarity Ranking -- 1 Introduction -- 2 Similar-Video Retrieval -- 2.1 Frame Features -- 2.2 Clustering Algorithms for Exemplar Extraction -- 2.3 Global and Local Alignments -- 3 Video Signature Tools -- 3.1 Frame Signature -- 3.2 Word and Bag of Words -- 4 Experiments on Video Similarity Ranking -- 4.1 Test Video Set and Evaluation Method -- 4.2 Experimental Results -- 5 Discussions -- References -- On Measuring the Complexity of Classification Problems -- 1 Introduction -- 2 Complexity Measures/Indices -- 2.1 Feature/Attribute Overlapping -- 2.2 Separability of Classes -- 2.3 Geometry, Topology and Density -- 3 Conclusion -- References -- The Effect of Stemming and Stop-Word-Removal on Automatic Text Classification in Turkish Language -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Methodology for Dataset -- 5 The Experimental Results -- 6 Conclusion -- References -- Example-Specific Density Based Matching Kernel for Classification of Varying Length Patterns of Speech Using Support Vector Machines -- 1 Introduction -- 2 Dynamic Kernels for Sets of Feature Vectors -- 3 Example-Specific Density Based Matching Kernel for Sets of Feature Vectors -- 4 Experimental Studies on Speech Emotion Recognition and Speaker Identification -- 5 Conclusions -- References -- Possibilistic Information Retrieval Model Based on Relevant Annotations and Expanded Classification -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Filtering Annotation Approach -- 4 Classification of Annotations -- 4.1 Initial Classification -- 4.2 Clusters Extension -- 5 Experimental Evaluation and Analysis of Results -- 5.1 Used Collection of Data -- 5.2 Effects of the Classified and Filtered Annotation.
6 Conclusion and Future Works -- References -- A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification -- 1 Introduction -- 2 Methods -- 2.1 Deep Convolutional Neural Network (DCNN) -- 2.2 Transfer Learning for DCNN -- 2.3 Materials -- 3 Results -- 4 Summary and Discussion -- References -- Evaluation of Machine Learning Algorithms for Automatic Modulation Recognition -- Abstract -- 1 Introduction -- 2 System Model, Signal and Channel Representation -- 3 Feature Extraction -- 3.1 Spectral Features -- 3.2 Statistical Features -- 4 Nonnegative Matrix Factorization (NMF) -- 5 Experimental Results -- 6 Conclusion -- References -- Probabilistic Prediction in Multiclass Classification Derived for Flexible Text-Prompted Speaker Verification -- 1 Introduction -- 2 Probabilistic Prediction for Text-Prompted Speaker Verification -- 2.1 Multistep Speaker and Text Verification Using GEBI -- 2.2 Probabilistic Prediction for Speaker and Text Verification -- 2.3 Loss Functions for Evaluating the Performance -- 3 Experiments -- 3.1 Experimental Setting -- 3.2 Experimental Results and Analysis -- 4 Conclusion -- References -- Simple Feature Quantities for Learning of Dynamic Binary Neural Networks -- 1 Introduction -- 2 Dynamic Binary Neural Networks -- 3 Teacher Signal and Feature Quantities -- 4 Greedy Search Based Sparsification Algorithm -- 5 Conclusions -- References -- Transfer Metric Learning for Kinship Verification with Locality-Constrained Sparse Features -- 1 Introduction -- 2 Proposed Approach -- 2.1 Feature Extraction -- 2.2 NRTML -- 3 Experiments -- 3.1 Experimental Settings -- 3.2 Experimental Results -- 4 Conclusion -- References -- Unsupervised Land Classification by Self-organizing Map Utilizing the Ensemble Variance Information in Satellite-Borne Polarimetric Synthetic Aperture Radar.
1 Introduction.
Record Nr. UNISA-996466222003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Neural Information Processing [[electronic resource] ] : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part II / / edited by Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu
Neural Information Processing [[electronic resource] ] : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part II / / edited by Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVI, 666 p. 229 illus.)
Disciplina 006.32
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Computer vision
Artificial intelligence
Computer science
Data mining
Application software
Automated Pattern Recognition
Computer Vision
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
Computer and Information Systems Applications
ISBN 3-319-26535-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466222203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Neural Information Processing [[electronic resource] ] : 22nd International Conference, ICONIP 2015, November 9-12, 2015, Proceedings, Part IV / / edited by Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu
Neural Information Processing [[electronic resource] ] : 22nd International Conference, ICONIP 2015, November 9-12, 2015, Proceedings, Part IV / / edited by Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVII, 702 p. 257 illus.)
Disciplina 006.32
Collana Theoretical Computer Science and General Issues
Soggetto topico Pattern recognition systems
Computer vision
Artificial intelligence
Computer science
Data mining
Application software
Automated Pattern Recognition
Computer Vision
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
Computer and Information Systems Applications
ISBN 3-319-26561-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part IV -- Deep Feature-Action Processing with Mixture of Updates -- Abstract -- 1 Introduction -- 1.1 Actor-Critic and Neural Networks -- 1.2 Deep Learning and RL -- 1.3 Robot Homing -- 2 The Model -- 2.1 Model Architecture and Components -- 2.2 Actor-Critic Combined Network with Double Eligibility Traces -- 2.3 Mixing Gradient with Conjugate Gradient Updates -- 2.4 Deep Blended Actor-Critic Architecture -- 3 Experimental Results -- 3.1 Agent Learning Behavior and Convergence -- References -- Heterogeneous Features Integration via Semi-supervised Multi-modal Deep Networks -- 1 Introduction -- 2 Semi-Supervised Multi-Modal Deep Networks -- 2.1 Model Architecture -- 2.2 Extracting Homogeneous Representations by Root Networks -- 2.3 Feature Fusion with Top Networks -- 3 Experiments -- 3.1 Datasets and Experiment Setup -- 3.2 Experimental Results -- 4 Conclusion -- References -- Multimodal Deep Belief Network Based Link Prediction and User Comment Generation -- 1 Introduction -- 2 Models -- 2.1 Restricted Boltzmann Machine -- 2.2 Deep Belief Network -- 2.3 Multimodal Deep Belief Networks -- 3 Methodology -- 3.1 Link Network Structure Features -- 3.2 User Comment Features -- 3.3 Discriminative Deep Belief Networks -- 3.4 Reconstructive Deep Belief Networks -- 4 Experiments and Analysis -- 4.1 Experiment Setup -- 4.2 Link Prediction Results and Analysis -- 4.3 User Comment Generation Results and Analysis -- 5 Conclusion -- References -- Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images -- 1 Introduction -- 2 Methodology -- 2.1 Restricted Boltzmann Machines -- 2.2 Deep Neural Networks -- 2.3 Dropout Method -- 3 Data Set Description -- 4 Application and Results -- 5 Conclusion -- References -- A Multichannel Deep Belief Network for the Classification of EEG Data.
1 Introduction -- 2 Deep Belief Networks -- 3 The Proposed Implementations of Multichannel DBN -- 4 Data Set -- 5 Experimental Results and Discussion -- 6 Conclusion -- References -- Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Human Activity Recognition with Convolutional Neural Networks -- 3.1 Convolutional Neural Networks -- 3.2 Convolutional Neural Network Architecture and Hyperparameters -- 4 Experiments -- 5 Conclusion -- References -- Concentration Monitoring with High Accuracy but Low Cost EEG Device -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Overall Structure of the Proposed System -- 2.2 Experiment Design -- 2.3 EEG Signal Processing -- 2.4 Candidate Features for Concentration Detection -- 3 Experimental Results -- 4 Conclusion -- Acknowledgements -- References -- Transfer Components Between Subjects for EEG-based Driving Fatigue Detection -- 1 Introduction -- 2 Algorithm Description -- 2.1 Feature Extraction -- 2.2 Transfer Component Analysis -- 3 Experimental Setup -- 3.1 Subjects and Procedure -- 3.2 Data Collection and Pre-processing -- 3.3 Feature Smooth -- 3.4 Feature Extraction -- 3.5 Fatigue Measurement -- 3.6 Detailed Parameters for Training -- 4 Experiment Results -- 5 Conclusion and Future Work -- References -- A Proposed Blind DWT-SVD Watermarking Scheme for EEG Data -- 1 Introduction -- 2 The Proposed EEG Watermarking Approach -- 2.1 EEG Watermarking Embedding -- 2.2 EEG Watermarking Extraction -- 3 Experiments and Results -- 3.1 Dataset -- 3.2 Results -- 4 Conclusion and Future Work -- References -- A Study to Investigate Different EEG Reference Choices in Diagnosing Major Depressive Disorder -- Abstract -- 1 Introduction -- 2 Proposed EEG Measures -- 2.1 Inter-hemispheric Asymmetry -- 2.2 Inter-hemispheric Coherence.
2.3 Power Computation Based on Welch Periodogram Method -- 3 Participant Recruitment and Experiment Design -- 3.1 Study Participants -- 3.2 Experiment Design -- 4 Data Analysis -- 4.1 EEG Data Preprocess -- 4.2 EEG Analysis -- 4.3 Validation -- 5 Results -- 5.1 Calculations of Accuracy, Sensitivity, and Specificity -- 5.2 Low Dimensional Representation -- 5.3 Classification Results -- 6 Conclusions -- References -- Prosthetic Motor Imaginary Task Classification Based on EEG Quality Assessment Features -- 1 Introduction -- 2 Methodology -- 2.1 Signal Recording -- 2.2 Feature Extraction -- 2.3 Classification Model -- 3 Results -- 4 Conclusion and Future Work -- References -- Enhancing Performance of EEG-based Emotion Recognition Systems Using Feature Smoothing -- 1 Introduction -- 2 The EEG-based Emotion Recoginition Model with Feature Smoothing -- 3 Experiments and Results -- 3.1 Dataset -- 3.2 Feature Extraction -- 3.3 Feature Smoothing -- 3.4 Experimental Results -- 4 Conclusion and Future Work -- References -- Intelligent Opinion Mining and Sentiment Analysis Using Artificial Neural Networks -- 1 Introduction -- 2 The State of the Art -- 3 Description of the System -- 4 Conclusions and Perspectives -- References -- Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases -- 1 Introduction -- 2 Preliminaries and Problem Definition -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusion -- 6 Related Work -- References -- Exploring Social Contagion in Open-Source Communities by Mining Software Repositories -- 1 Introduction -- 2 Related Work and Research Method -- 3 Results and Discussions -- 3.1 Power Law Distribution -- 3.2 Best Time to Start New Projects -- 3.3 Social Contagion in Open-Source Software Development -- 4 Limitations and Future Work -- 5 Conclusion -- References.
Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data -- 1 Introduction -- 2 Methodology -- 3 Experimental Result -- 4 Conclusion -- References -- MapReduce-based Parallelized Approximation of Frequent Itemsets Mining in Uncertain Data -- Abstract -- 1 Introduction -- 2 Related Work -- 3 MapReduce-based Parallel Approximation Algorithm -- 4 Experimental Results -- 4.1 Performance Analysis -- 4.2 Performance Comparisons -- 5 Conclusions -- Acknowledgement -- References -- A MapReduce Based Technique for Mining Behavioral Patterns from Sensor Data -- 1 Introduction -- 2 RFSPs Mining Problem in Wireless Sensor Networks -- 3 RFSPs Mining Using MapReduce Model -- 4 Experimental Results -- 5 Conclusion -- References -- A Methodology for Synthesizing Interdependent Multichannel EEG Data with a Comparison Among Three Blind Source Separation Techniques -- 1 Introduction -- 2 Construction of Synthetic Data -- 3 Evaluation of the Projection Techniques -- 4 Conclusion -- References -- Analysing the Robust EEG Channel Set for Person Authentication -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Dataset -- 3.2 Preprocessing and Feature Extraction -- 3.3 Channel Selection Criteria -- 4 Experimental Details -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Automatic Brain Tumor Segmentation in Multispectral MRI Volumetric Records -- 1 Introduction -- 2 Materials and Methods -- 2.1 BRATS Data Sets -- 2.2 The FCM Cascade -- 2.3 FCM Initialization -- 2.4 Decision Support -- 2.5 Evaluation of Accuracy -- 3 Results and Discussion -- 4 Conclusion -- References -- Real-Time EEG-based Human Emotion Recognition -- Abstract -- 1 Introduction -- 2 Background -- 3 Real-Time Emotion Recognition -- 3.1 Experimental-Design -- 3.2 Emotion Recognition Algorithm -- 4 Comparison and Results -- 5 Software and Tools.
6 Conclusion -- References -- Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data -- 1 Introduction -- 2 The Proposed NeuCube-Based Spiking Neural Network Methodology for Learning, Visualization and Clustering of STBD -- 2.1 Spiking Neural Networks for Modelling STBD -- 2.2 The NeuCube Architecture [3] -- 2.3 3D Dynamic Neuronal Clustering in a NeuCube SNN Model -- 3 Application of the Proposed Method on a Benchmark fMRI STBD -- 3.1 FMRI Data Acquisition Description -- 3.2 FMRI Data Mapping, Learning and Visualization in a SNNc -- 3.3 Dynamic Cluster Evolution in a NeuCube Model on the fMRI Case Study STBD -- 4 Conclusion -- References -- Vigilance Differentiation from EEG Complexity Attributes -- 1 Introduction -- 2 Subjects and Experimental Environment -- 3 Methodology -- 4 Results -- 4.1 Conclusion -- References -- Robust Discriminative Nonnegative Patch Alignment for Occluded Face Recognition -- 1 Introduction -- 2 Robust Discriminative Nonnegative Patch Alignment (RD-NPA) -- 2.1 Part Optimization -- 2.2 Whole Alignment -- 2.3 Objective Function of RD-NPA -- 3 Algorithm for Robust Discriminative Nonnegative Patch Alignment -- 4 Experiments -- 4.1 Data and Parameter Setting -- 4.2 Experimental Results -- 5 Conclusion -- References -- Single-Image Expression Invariant Face Recognition Based on Sparse Representation -- 1 Introduction -- 2 Shape-Constrained Sparse Representation -- 2.1 Shape-Constrained Texture Matching -- 2.2 Feature Interpretation -- 2.3 Sparse Texture Representation (STR) -- 3 Experiments -- 3.1 Shape Change -- 3.2 Expression Impact -- 4 Conclusion -- References -- Intensity-Depth Face Alignment Using Cascade Shape Regression -- 1 Introduction -- 2 Framework -- 2.1 Problem Description -- 2.2 Framework Structure -- 2.3 Feature -- 2.4 Initial Estimation.
3 Experiments.
Record Nr. UNISA-996466217403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui