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Neural Information Processing 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I

Title
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.
ISBN
9783319126371
Edition
1st ed. 2014.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2014.
Physical Description
1 online resource (XXXIV, 635 p.) 258 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 21st International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes,theories and applications, cognitive robotics, and learning systems for social network and web mining.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 05, 2023
Series
Theoretical Computer Science and General Issues, 8834
Theoretical Computer Science and General Issues, 8834
Contents
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.
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