Advances in Neuro-Information Processing

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