Neural Information Processing

Computational Neuroscience.- Neurobiological Foundation for the Meaning of Information.- Neural Information Processing Efforts to Restore Vision in the Blind.- Synchronous Phenomena for Two-Layered Neural Network with Chaotic Neurons.- Influence of Dendritic Spine Morphology on Spatiotemporal Change of Calcium/Calmoduline-Dependent Protein Kinase Density.- Memory Modification Induced by Pattern Completion and STDP in Hippocampal CA3 Model.- Neural Mechanism of Binding ITD Information with IID One for Generating Brain Map of Sound Localization.- The Spatiotemporal Dynamics of Intracellular Ion Concentration and Potential.- A Model That Captures Receptive Field Properties of Orientation Selective Neurons in the Visual Cortex.- Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions.- The Role of the Basal Ganglia in Exploratory Behavior in a Model Based on Reinforcement Learning.- A Functional Role of FM Sweep Rate of Biosonar in Echolocation of Bat.- Orientation Map Emerges in Parallel with the Formation of Receptive Fields in a Feedforward Neurotrophic Model.- The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning.- Stochastic Resonance Imaging – Stochastic Resonance Therapy: Preliminary Studies Considering Brain as Stochastic Processor.- Complex-Valued Neural Networks.- Ultra-wideband Beamforming by Using a Complex-Valued Spatio-temporal Neural Network.- A Model of Hopfield-Type Quaternion Neural Networks and Its Energy Function.- Mode-Utilizing Developmental Learning Based on Coherent Neural Networks.- Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System.- Two Models for Theta Precession Generation Using the Complex Version of the Nagumo-Sato Neuron Model and the Hodgkin-Huxley Equations.- Self-organizing Maps.- Using Self-organizing Map in a Computerized Decision Support System.- An Empirical Study on the Robustness of SOM in Preserving Topology with Respect to Link Density.- Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick.- An Efficient Two-Level SOMART Document Clustering Through Dimensionality Reduction.- Color Image Vector Quantization Using Wavelet Transform and Enhanced Self-organizing Neural Network.- Using SOM-Based Data Binning to Support Supervised Variable Selection.- Evolutionary Computation.- Packing Bins Using Multi-chromosomal Genetic Representation and Better-Fit Heuristic.- Data Association for Multiple Target Tracking: An Optimization Approach.- Expected Running Time Analysis of a Multiobjective Evolutionary Algorithm on Pseudo-boolean Functions.- The Influence of Gaussian, Uniform, and Cauchy Perturbation Functions in the Neural Network Evolution.- Closest Substring Problem – Results from an Evolutionary Algorithm.- Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems.- Multiobjective Genetic Search for Spanning Tree Problem.- A Partheno-genetic Algorithm for Combinatorial Optimization.- Evaluation of Comprehensive Learning Particle Swarm Optimizer.- Evolutionary Learning Program’s Behavior in Neural Networks for Anomaly Detection.- Gray and Binary Encoding in the (1+1)-EA.- Control Systems.- Asymptotic Stability of Nonautonomous Delayed Neural Networks.- A New PID Tuning Technique Using Differential Evolution for Unstable and Integrating Processes with Time Delay.- Representation and Identification of Finite State Automata by Recurrent Neural Networks.- Neural Network Closed-Loop Control Using Sliding Mode Feedback-Error-Learning.- State Estimation and Tracking Problems: A Comparison Between Kalman Filter and Recurrent Neural Networks.- Cognitive Science.- A Connectionist Account of Ontological Boundary Shifting.- A Neural Network Model for Trace Conditioning.- Chunking Phenomenon in Complex Sequential Skill Learning in Humans.- Cognitive Process of Emotion Under Uncertainty.- The Locus of Word Length and Frequency Effect in Comprehending English Words by Korean-English Bilinguals and Americans.- Cerebral Activation Areas with Respect to Word and Sentence Production by Early and Late Korean-English Bilinguals: Event-Related fMRI Study.- Biometrics.- Fusion of Dimension Reduction Methods and Application to Face Recognition.- A Hardware-Directed Face Recognition System Based on Local Eigen-analysis with PCNN.- The Teager Energy Based Features for Identification of Identical Twins in Multi-lingual Environment.- A Fast and Efficient Face Detection Technique Using Support Vector Machine.- User Enrollment Using Multiple Snapshots of Fingerprint.- Signature Verification Using Static and Dynamic Features.- Face Recognition Using SVM Combined with CNN for Face Detection.- Face Recognition Using Weighted Modular Principle Component Analysis.- Adaptive Intelligent Systems.- Self-organizing Relationship (SOR) Network with Fuzzy Inference Based Evaluation and Its Application to Trailer-Truck Back-Up Control.- In-vehicle Noise and Enhanced Speech Intelligibility.- An Evolving Neural Network Model for Person Verification Combining Speech and Image.- Adaptive Affine Subspace Self-organizing Map with Kernel Method.- Brain-Like Computing.- Scene Memory on Competitively Growing Neural Network Using Temporal Coding: Self-organized Learning and Glance Recognizability.- Pulsed Para-neural Networks (PPNN) Based on MEXOR Logic.- Knowledge Reusing Neural Learning System for Immediate Adaptation in Navigation Tasks.- Universal Spike-Train Processor for a High-Speed Simulation of Pulsed Para-neural Networks.- Knowledge Extraction from Artificial Associative Memory for Helping Senile Dementia Patients.- Learning Algorithms.- Some Experiments on Training Radial Basis Functions by Gradient Descent.- Predictive Approaches for Sparse Model Learning.- Multiple Instance Learning with Radial Basis Function Neural Networks.- Leverages Based Neural Networks Fusion.- A Process of Differentiation in the Assembly Neural Network.- Managing Interference Between Prior and Later Learning.- A Neural Learning Rule for CCA Approximation.- Adaptive Learning in Incremental Learning RBF Networks.- Recurrent Neural Networks for Learning Mixed k th -Order Markov Chains.- An Efficient Generalization of Battiti-Shanno’s Quasi-Newton Algorithm for Learning in MLP-Networks.- Incremental Learning and Dimension Selection Through Sleep.- The Most Robust Loss Function for Boosting.- An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks.- Density Boosting for Gaussian Mixtures.- Improving kNN Based Text Classification with Well Estimated Parameters.- One-Epoch Learning for Supervised Information-Theoretic Competitive Learning.- Teacher-Directed Learning with Gaussian and Sigmoid Activation Functions.- Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model.- Variational Information Maximization for Neural Coding.- Comparison of TDLeaf(?) and TD(?) Learning in Game Playing Domain.- Rule Extraction by Seeing Through the Model.- An Auxiliary Variational Method.- Gaussian Process Regression with Fluid Hyperpriors.- Learning Team Cooperation.- Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization.- A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm.- Generalization in Learning Multiple Temporal Patterns Using RNNPB.- Structural Learning of Neural Network for Continuous Valued Output: Effect of Penalty Term to Hidden Units.- Argumentation Neural Networks.- A Neighbor Generation Mechanism Optimizing Neural Networks.- Collaborative Agent Learning Using Neurocomputing.- Novel Neural Networks.- Cognitive Routing in Packet Networks.- TWRBF – Transductive RBF Neural Network with Weighted Data Normalization.- An Incremental Neural Network for Non-stationary Unsupervised Learning.- Computing Convex-Layers by a Multi-layer Self-organizing Neural Network.- Cost-Sensitive Greedy Network-Growing Algorithm with Gaussian Activation Functions.- Image Processing.- An Efficient Skew Estimation Technique for Binary Document Images Based on Boundary Growing and Linear Regression Analysis.- Segmenting Moving Objects with a Recurrent Stochastic Neural Network.- Real-Time Gaze Detection via Neural Network.- CA Based Document Compression Technology.- Size-Independent Image Segmentation by Hierarchical Clustering and Its Application for Face Detection.- Human-Like Selective Attention Model with Reinforcement and Inhibition Mechanism.- Genetic Algorithm for Optimal Imperceptibility in Image Communication Through Noisy Channel.- High Speed Extraction Model of ROI for Automatic Logistics System.- Using Biased Support Vector Machine to Improve Retrieval Result in Image Retrieval with Self-organizing Map.- A Fast MPEG4 Video Encryption Scheme Based on Chaotic Neural Network.- Content-Based Video Classification Using Support Vector Machines.- Fast Half Pixel Motion Estimation Based on Spatio-temporal Correlations.- Pattern Recognition.- Local and Recognizable Iso Picture Languages.- Multilayer Feedforward Ensembles for Classification Problems.- Performance Advantage of Combined Classifiers in Multi-category Cases: An Analysis.- Web Documents Categorization Using Neural Networks.- Gender Classification of Face Images: The Role of Global and Feature-Based Information.- Classification of SAR Images Through a Convex Hull Region Oriented Approach.- Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances.- A Two-Pass Approach to Pattern Classification.- A Long Memory Process Based Parametric Modeling and Recognition of PD Signal.- A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns.- Time Series Classification for Online Tamil Handwritten Character Recognition – A Kernel Based Approach.- Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers.- Recognition of Bangla Handwritten Characters Using an MLP Classifier Based on Stroke Features.- Elastic Matching Algorithms for Online Tamil Character Recognition.- Automated Classification of Industry and Occupation Codes Using Document Classification Method.- Abnormality Detection in Endoscopic Images Using Color Segmentation and Curvature Computation.- Fault Diagnosis for Industrial Images Using a Min-Max Modular Neural Network.- Cellular Automata Based Pattern Classifying Machine for Distributed Data Mining.- Investigating the Use of an Agent-Based Multi-classifier System for Classification Tasks.- A New MDS Algorithm for Textual Data Analysis.- Neuroinformatics.- Chaotic Behavior in Neural Networks and FitzHugh-Nagumo Neuronal Model.- Snap-Shots on Neuroinformatics and Neural Information Processing Research in Singapore.- Deciphering the Genetic Blueprint of Cerebellar Development by the Gene Expression Profiling Informatics.- Korean Neuroinformatics Research Program: From the Second Phase to the Third Phase.- A Guided Tour of Neuroinformatics Research in India.- Fuzzy Systems.- CMAC with Fuzzy Logic Reasoning.- A Fuzzy Multilevel Programming Method for Hierarchical Decision Making.- Fuzzy Rule-Based Systems Derived from Similarity to Prototypes.- Generalized Rule-Based Fuzzy Cognitive Maps: Structure and Dynamics Model.- Development of Adaptive Fuzzy Based Multi-user Detection Receiver for DS-CDMA.- A Partitioning Method for Fuzzy Probabilistic Predictors.- Fuzzy Compactness Based Adaptive Window Approach for Image Matching in Stereo Vision.- Neuro-fuzzy Systems.- BDI Agents Using Neural Network and Adaptive Neuro Fuzzy Inference for Intelligent Planning in Container Terminals.- A Neuro-fuzzy Approach for Predicting the Effects of Noise Pollution on Human Work Efficiency.- Evolving Fuzzy Neural Networks Applied to Odor Recognition.- Differential Evolution Based On-Line Feature Analysis in an Asymmetric Subsethood Product Fuzzy Neural Network.- Neuro-fuzzy System for Clustering of Video Database.- Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment.- An Enhanced Fuzzy Multilayer Perceptron.- Hybrid Systems.- Intelligent Multi-agent Based Genetic Fuzzy Ensemble Network Intrusion Detection.- Genetic Algorithm Based Fuzzy ID3 Algorithm.- Neural-Evolutionary Learning in a Bounded Rationality Scenario.- Rule Extraction Framework Using Rough Sets and Neural Networks.- A Fusion Neural Network for Estimation of Blasting Vibration.- Feature Analysis.- Nonlinear Feature Extraction Using Evolutionary Algorithm.- Hybrid Feature Selection for Modeling Intrusion Detection Systems.- Feature Selection for Fast Image Classification with Support Vector Machines.- Dimensionality Reduction by Semantic Mapping in Text Categorization.- Non-linear Dimensionality Reduction by Locally Linear Isomaps.- Independent Component Analysis.- Applications of Independent Component Analysis.- Supervised Independent Component Analysis with Class Information.- Automated Diagnosis of Brain Tumours Using a Novel Density Estimation Method for Image Segmentation and Independent Component Analysis Combined with Support Vector Machines for Image Classification.- Temporal Independent Component Analysis for Separating Noisy Signals.- Blind Dereverberation of Single-Channel Speech Signals Using an ICA-Based Generative Model.- Permutation Correction of Filter Bank ICA Using Static Channel Characteristics.- Ant Colony.- Minimal Addition-Subtraction Chains with Ant Colony.- TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies.- Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search.- Investigations into the Use of Supervised Multi-agents for Web Documents Categorization.- OrgSwarm – A Particle Swarm Model of Organizational Adaptation.- Neural Network Hardware.- Analysis of Synchronous Time in Chaotic Pulse-Coupled Networks.- A Spiking Oscillator with Quantized State and Its Pulse Coding Characteristics.- Concurrent Support Vector Machine Processor for Disease Diagnosis.- Robotics.- Towards the Unification of Human Movement, Animation and Humanoid in the Network.- A Dual Neural Network for Bi-criteria Torque Optimization of Redundant Robot Manipulators.- A Genetic Approach to Optimizing the Values of Parameters in Reinforcement Learning for Navigation of a Mobile Robot.- On the Use of Cognitive Artifacts for Developmental Learning in a Humanoid Robot.- Visual Servo Control for Intelligent Guided Vehicle.- Signal Processing.- A Basilar Membrane Model Using Simulink for Hearing-Aid Systems.- Cluster and Intrinsic Dimensionality Analysis of the Modified Group Delay Feature for Speaker Classification.- Two-Stage Duration Model for Indian Languages Using Neural Networks.- Multichannel Blind Deconvolution of Non-minimum Phase System Using Cascade Structure.- A Comparative Study of Feature Extraction Algorithms on ANN Based Speaker Model for Speaker Recognition Applications.- Development of FLANN Based Multireference Active Noise Controllers for Nonlinear Acoustic Noise Processes.- Phase Space Parameters for Neural Network Based Vowel Recognition.- Speaker Segmentation Based on Subsegmental Features and Neural Network Models.- Support Vector Machine.- Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs.- A Study for Excluding Incorrect Detections of Holter ECG Data Using SVM.- Semi-supervised Kernel-Based Fuzzy C-Means.- Use of Autocorrelation Kernels in Kernel Canonical Correlation Analysis for Texture Classification.- Phoneme Transcription by a Support Vector Machine.- A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines.- Support Vector Machines Approach to Pattern Detection in Bankruptcy Prediction and Its Contingency.- Outliers Treatment in Support Vector Regression for Financial Time Series Prediction.- Kernel Based Clustering for Multiclass Data.- Combined Kernel Function for Support Vector Machine and Learning Method Based on Evolutionary Algorithm.- Time Series Prediction.- Neural Network Classification Algorithm for the Small Size Training Set Situation in the Task of Thin-Walled Constructions Fatigue Destruction Control.- Wavelet-Based Estimation of Hemodynamic Response Function.- Neural Networks for fMRI Spatio-temporal Analysis.- Modeling Corrupted Time Series Data via Nonsingleton Fuzzy Logic System.- Hydrological Forecasting and Updating Procedures for Neural Network.- Bioinformatics.- Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets.- Protein Metal Binding Residue Prediction Based on Neural Networks.- Assessment of Reliability of Microarray Data Using Fuzzy C-Means Classification.- DNA Sequence Pattern Identification Using a Combination of Neuro-Fuzzy Predictors.- Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV).- Gene Regulatory Network Discovery from Time-Series Gene Expression Data – A Computational Intelligence Approach.- Sequence Variability and Long-Range Dependence in DNA: An Information Theoretic Perspective.