Advances in Neuro-Information Processing

Neural Network Based Semantic Web, Data Mining and Knowledge Discovery.- A Novel Method for Manifold Construction.- A Non-linear Classifier for Symbolic Interval Data Based on a Region Oriented Approach.- A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution.- New Neuron Model for Blind Source Separation.- Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach.- Local Feature Selection in Text Clustering.- Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge.- Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity.- Neurocognitive Approach to Clustering of PubMed Query Results.- Search-In-Synchrony: Personalizing Web Search with Cognitive User Profile Model.- Neurocognitive Approach to Creativity in the Domain of Word-Invention.- Improving Personal Credit Scoring with HLVQ-C.- Architecture of Behavior-Based Function Approximator for Adaptive Control.- On Efficient Content Based Information Retrieval Using SVM and Higher Order Correlation Analysis.- Neural Networks Learning Paradigm.- A String Measure with Symbols Generation: String Self-Organizing Maps.- Neural Network Smoothing of Geonavigation Data on the Basis of Multilevel Regularization Algorithm.- Knowledge-Based Rule Extraction from Self-Organizing Maps.- A Bayesian Local Linear Wavelet Neural Network.- Analysis on Equilibrium Point of Expectation Propagation Using Information Geometry.- Partially Enhanced Competitive Learning.- Feature Detection by Structural Enhanced Information.- Gradient Learning in Networks of Smoothly Spiking Neurons.- Orthogonalization and Thresholding Method for a Nonparametric Regression Problem.- Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction.- Divided Chaotic Associative Memory for Successive Learning.- Reinforcement Learning Using Kohonen Feature Map Associative Memory with Refractoriness Based on Area Representation.- Automatic Model Selection via Corrected Error Backpropagation.- Self-Referential Event Lists for Self-Organizing Modular Reinforcement Learning.- Generalisation Performance vs. Architecture Variations in Constructive Cascade Networks.- Synchronized Oriented Mutations Algorithm for Training Neural Controllers.- Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed.- Sample Filtering Relief Algorithm: Robust Algorithm for Feature Selection.- Enhanced Visualization by Combing SOM and Mixture Models.- Genetic Versus Nearest-Neighbor Imputation of Missing Attribute Values for RBF Networks.- Combination of Dynamic Reservoir and Feedforward Neural Network for Time Series Forecasting.- Learning Nonadjacent Dependencies with a Recurrent Neural Network.- A Back-Propagation Training Method for Multilayer Pulsed Neural Networks Using Principle of Duality.- Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation.- Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer.- On Node-Fault-Injection Training of an RBF Network.- Kernel Methods and SVM.- Symbolic Knowledge Extraction from Support Vector Machines: A Geometric Approach.- Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features.- Acoustic Echo Cancellation Using Gaussian Processes.- Automatic Particle Detection and Counting by One-Class SVM from Microscope Image.- Protein Folding Classification by Committee SVM Array.- Implementation of the MLP Kernel.- Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification with Feature Selection.- An SVM Based Approach to Cross-Language Adaptation for Indian Languages.- Automatic Classification System for the Diagnosis of Alzheimer Disease Using Component-Based SVM Aggregations.- Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines.- Computer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees.- Modeling and Prediction of Nonlinear EEG Signal Using Local SVM Method.- Neural Networks as a Soft Computing Technology.- Suitability of Using Self-Organizing Neural Networks in Configuring P-System Communications Architectures.- Short Term Load Forecasting (STLF) Using Artificial Neural Network Based Multiple Lags of Time Series.- Neural Network Regression for LHF Process Optimization.- Trading Strategy in Foreign Exchange Market Using Reinforcement Learning Hierarchical Neuro-Fuzzy Systems.- Improving Multi Step-Ahead Model Prediction through Backward Elimination Method in Multiple Neural Networks Combination.- A Novel Adaptive Resource-Aware PNN Algorithm Based on Michigan-Nested Pittsburgh PSO.- Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms.- Feature Selection Method with Multi-Population Agent Genetic Algorithm.- Particle Swarm Optimization and Differential Evolution in Fuzzy Clustering.- Intelligent Control of Heating, Ventilating and Air Conditioning Systems.- Investigating Ensemble Weight and the Certainty Distributions for Indicating Structural Diversity.- Neural Networks and Pattern Recognition.- Dynamic Programming Stereo on Real-World Sequences.- Happy-Sad Expression Recognition Using Emotion Geometry Feature and Support Vector Machine.- A New Principal Axis Based Line Symmetry Measurement and Its Application to Clustering.- Class-Dependent Feature Selection for Face Recognition.- Partial Clustering for Tissue Segmentation in MRI.- Time Series Analysis for Long Term Prediction of Human Movement Trajectories.- Error Analysis of a Sub-millimeter Real-Time Target Recognition System with a Moving Camera.- Automatic Plaque Boundary Extraction in Intravascular Ultrasound Image by Fuzzy Inference with Adaptively Allocated Membership Functions.- Gabor Neural Network Based Facial Expression Recognition for Assistive Speech Expression.- Investigations into Particle Swarm Optimization for Multi-class Shape Recognition.- Patterns of Interactions in Complex Social Networks Based on Coloured Motifs Analysis.- Initialization Dependence of Clustering Algorithms.- Boundary Detection from Spectral Information.- Improvement of Practical Recurrent Learning Method and Application to a Pattern Classification Task.- An Automatic Intelligent Language Classifier.- Gender Classification by Combining Facial and Hair Information.- A Hybrid Fuzzy Approach for Human Eye Gaze Pattern Recognition.- Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants.- An Asbestos Counting Method from Microscope Images of Building Materials Using Summation Kernel of Color and Shape.- Evaluation of Prediction Capability of Non-recursion Type 2nd-order Volterra Neuron Network for Electrocardiogram.- A New ART-LMS Neural Network for the Image Restoration.- Moving Vehicle Tracking Based on SIFT Active Particle Choosing.- Classification of Fundus Images for Diagnosing Glaucoma by Self-Organizing Map and Learning Vector Quantization.- Facial Expression Recognition Techniques Using Constructive Feedforward Neural Networks and K-Means Algorithm.- A Neural Network Based Classification of Human Blood Cells in a Multiphysic Framework.- Caller Interaction Classification: A Comparison of Real and Binary Coded GA-MLP Techniques.- A Robust Technique for Background Subtraction in Traffic Video.- Gabor Filters as Feature Images for Covariance Matrix on Texture Classification Problem.- Investigating Demographic Influences for HIV Classification Using Bayesian Autoassociative Neural Networks.- Hardware-Based Solutions Utilizing Random Forests for Object Recognition.- A Neural Oscillation Model for Contour Separation in Color Images.- A Color Image Segmentation Using Inhibitory Connected Pulse Coupled Neural Network.- Generating Saliency Map Related to Motion Based on Self-organized Feature Extracting.- Intelligent Face Image Retrieval Using Eigenpaxels and Learning Similarity Metrics.- The Role of the Infant Vision System in 3D Object Recognition.- Virtual Fence for a Surveillance System.- Application of mnSOM on Linking External Exposure to Internal Load.- Neuromorphic Hardware and Embedded Neural Networks.- Automated and Holistic Design of Intelligent and Distributed Integrated Sensor Systems with Self-x Properties for Applications in Vision, Robotics, Smart Environments, and Culinary Assistance Systems.- Hardware Design of Japanese Hand Sign Recognition System.- Blind Source Separation System Using Stochastic Arithmetic on FPGA.- Noise-Tolerant Analog Circuits for Sensory Segmentation Based on Symmetric STDP Learning.- A Novel Approach for Hardware Based Sound Classification.- The Generalized Product Neuron Model in Complex Domain.- Pulse-Type Hardware Neural Network with Two Time Windows in STDP.- Time Evaluation for WTA Hopfield Type Circuits Affected by Cross-Coupling Capacitances.- Circuit FPGA for Active Rules Selection in a Transition P System Region.- Machine Learning and Information Algebra.- Model Selection Method for AdaBoost Using Formal Information Criteria.- The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method.- On Weight-Noise-Injection Training.- Intelligent Control of Heating, Ventilating and Air Conditioning Systems.- Bregman Divergences and Multi-dimensional Scaling.- Collective Activations to Generate Self-Organizing Maps.- A Closed-Form Estimator of Fully Visible Boltzmann Machines.- Incremental Learning in the Non-negative Matrix Factorization.- Contextual Behaviors and Internal Representations Acquired by Reinforcement Learning with a Recurrent Neural Network in a Continuous State and Action Space Task.- Improving the Quality of EEG Data in Patients with Alzheimer’s Disease Using ICA.- Global Minimization of the Projective Nonnegative Matrix Factorization.- Learning Sparse Representations Using a Parametric Cauchy Density.- A One-Layer Recurrent Neural Network for Non-smooth Convex Optimization Subject to Linear Equality Constraints.- Brain-Computer Interface.- A Study on Application of Reliability Based Automatic Repeat Request to Brain Computer Interfaces.- Analysis on Saccade-Related Independent Components by Various ICA Algorithms for Developing BCI.- Policy Gradient Learning of Cooperative Interaction with a Robot Using User’s Biological Signals.- Real-Time Embedded EEG-Based Brain-Computer Interface.- Neural Network Implementations.- SpiNNaker: The Design Automation Problem.- The Deferred Event Model for Hardware-Oriented Spiking Neural Networks.- Particle Swarm Optimization with SIMD-Oriented Fast Mersenne Twister on the Cell Broadband Engine.- DNA Computing Hardware Design and Application to Multiclass Cancer Data.