Neural information processing :
Neural information processing : 21st international conference, iconip 2014, kuching, malaysia, november 3-6, 2014. Proceedings, part I /
edited by Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh, Kaizhu Huang.
- xxxiv, 635 páginas : 258 ilustraciones
- Lecture Notes in Computer Science, 8834 0302-9743 ; .
Springer eBooks
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.
9783319126371
Q337.5
Springer eBooks
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.
9783319126371
Q337.5