Neural Information Processing

Pattern Classification.- Distance Function Learning in Error-Correcting Output Coding Framework.- Combining Pairwise Coupling Classifiers Using Individual Logistic Regressions.- The Novelty Detection Approach for Different Degrees of Class Imbalance.- A Novel Multistage Classification Strategy for Handwriting Chinese Character Recognition Using Local Linear Discriminant Analysis.- Prototype Based Classification Using Information Theoretic Learning.- A Modal Symbolic Classifier for Interval Data.- Hough Transform Neural Network for Seismic Pattern Detection.- Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier.- Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network.- A Hybrid Handwritten Chinese Address Recognition Approach.- A Morphological Neural Network Approach for Vehicle Detection from High Resolution Satellite Imagery.- Secure Personnel Authentication Based on Multi-modal Biometrics Under Ubiquitous Environments.- Pattern Classification Using a Set of Compact Hyperspheres.- Direct Estimation of Fault Tolerance of Feedforward Neural Networks in Pattern Recognition.- A Fully Automated Pattern Classification Method of Combining Self-Organizing Map with Generalization Regression Neural Network.- Comparison of One-Class SVM and Two-Class SVM for Fold Recognition.- Efficient Domain Action Classification Using Neural Networks.- A New Hierarchical Decision Structure Using Wavelet Packet and SVM for Brazilian Phonemes Recognition.- Face Analysis and Processing.- A Passport Recognition and Face Verification Using Enhanced Fuzzy Neural Network and PCA Algorithm.- A Weighted FMM Neural Network and Its Application to Face Detection.- Fast Learning for Statistical Face Detection.- Extraction of Discriminative Manifold for Face Recognition.- Gender Classification Using a New Pyramidal Neural Network.- A Novel Model for Gabor-Based Independent Radial Basis Function Neural Networks and Its Application to Face Recognition.- Generalized PCA Face Recognition by Image Correction and Bit Feature Fusion.- E-2DLDA: A New Matrix-Based Image Representation Method for Face Recognition.- Adaptive Color Space Switching Based Approach for Face Tracking.- A New Subspace Analysis Approach Based on Laplacianfaces.- Rotation Invariant Face Detection Using Convolutional Neural Networks.- Face Tracking Algorithm Based on Mean Shift and Ellipse Fitting.- Improving the Generalization of Fisherface by Training Class Selection Using SOM2.- Image Processing.- Image Registration with Regularized Neural Network.- A Statistical Approach for Learning Invariants: Application to Image Color Correction and Learning Invariants to Illumination.- Limited Recurrent Neural Network for Superresolution Image Reconstruction.- Remote Sensing Image Fusion Based on Adaptive RBF Neural Network.- Active Contour with Neural Networks-Based Information Fusion Kernel.- A Novel Split-and-Merge Technique for Error-Bounded Polygonal Approximation.- Fast and Adaptive Low-Pass Whitening Filters for Natural Images.- An Exhaustive Employment of Neural Networks to Search the Better Configuration of Magnetic Signals in ITER Machine.- Ultra-Fast fMRI Imaging with High-Fidelity Activation Map.- A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation.- An Efficient Unsupervised Mixture Model for Image Segmentation.- Speckle Reduction of Polarimetric SAR Images Based on Neural ICA.- Robust ICA Neural Network and Application on Synthetic Aperture Radar (SAR) Image Analysis.- Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition.- SuperResolution Image Reconstruction Using a Hybrid Bayesian Approach.- Retrieval-Aware Image Compression, Its Format and Viewer Based Upon Learned Bases.- A Suitable Neural Network to Detect Textile Defects.- MPEG Video Traffic Modeling and Classification Using Fuzzy C-Means Algorithm with Divergence-Based Kernel.- A Novel Sports Video Logo Detector Based on Motion Analysis.- A Fast Selection Algorithm for Multiple Reference Frames in H.264/AVC.- An Automotive Detector Using Biologically Motivated Selective Attention Model for a Blind Spot Monitor.- Wavelet Energy Signature: Comparison and Analysis.- Image Fusion Based on PCA and Undecimated Discrete Wavelet Transform.- Signal Processing.- Speech Recognition with Multi-modal Features Based on Neural Networks.- Speech Feature Extraction Based on Wavelet Modulation Scale for Robust Speech Recognition.- Fuzzy Controllers Based QoS Routing Algorithm with a Multiclass Scheme for Ad Hoc Networks.- Direction of Arrival Estimation Based on Minor Component Analysis Approach.- Two-Stage Temporally Correlated Source Extraction Algorithm with Its Application in Extraction of Event-Related Potentials.- Bispectrum Quantification Analysis of EEG and Artificial Neural Network May Classify Ischemic States.- An Adaptive Beamforming by a Generalized Unstructured Neural Network.- Application of Improved Kohonen SOFM Neural Network to Radar Signal Sorting.- Unscented Kalman Filter-Trained MRAN Equalizer for Nonlinear Channels.- A Jumping Genes Paradigm with Fuzzy Rules for Optimizing Digital IIR Filters.- Practical Denoising of MEG Data Using Wavelet Transform.- Signal Restoration and Parameters’ Estimation of Ionic Single-Channel Based on HMM-SR Algorithm.- Signal Sorting Based on SVC & K-Means Clustering in ESM Systems.- Computer Vision.- Camera Pose Estimation by an Artificial Neural Network.- Depth Perception of the Surfaces in Occluded Scenic Images.- Incremental Learning Method for Unified Camera Calibration.- Implicit Camera Calibration by Using Resilient Neural Networks.- Implicit Camera Calibration Using an Artificial Neural Network.- 3D Freeform Surfaces from Planar Sketches Using Neural Networks.- General Adaptive Transfer Functions Design for Volume Rendering by Using Neural Networks.- Real-Time Synthesis of 3D Animations by Learning Parametric Gaussians Using Self-Organizing Mixture Networks.- Data Pre-processing.- An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques.- Driven Forward Features Selection: A Comparative Study on Neural Networks.- Non-negative Matrix Factorization Based Text Mining: Feature Extraction and Classification.- Adaptive Parameters Determination Method of Pulse Coupled Neural Network Based on Water Valley Area.- The Forgetting Gradient Algorithm for Parameter and Intersample Estimation of Dual-Rate Systems.- Intelligent System for Feature Extraction of Oil Slick in SAR Images: Speckle Filter Analysis.- Feature Selection for Neural Networks Through Binomial Regression.- Automated Parameter Selection for Support Vector Machine Decision Tree.- Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs.- Analysis and Insights into the Variable Selection Problem.- Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection.- Fault Tolerant Training of Neural Networks for Learning Vector Quantization.- Clustering with a Semantic Criterion Based on Dimensionality Analysis.- Improved Clustering and Anisotropic Gradient Descent Algorithm for Compact RBF Network.- Clustering Massive High Dimensional Data with Dynamic Feature Maps.- Zoomed Clusters.- Forecasting and Prediction.- Predicting Chaotic Time Series by Boosted Recurrent Neural Networks.- Uncertainty in Mineral Prospectivity Prediction.- Thermal Deformation Prediction in Machine Tools by Using Neural Network.- Fuzzy Time Series Prediction Method Based on Fuzzy Recurrent Neural Network.- Research on a Novel Method Diagnosis and Maintenance for Key Produce Plant Based on MAS and NN.- Nonlinear Hydrological Time Series Forecasting Based on the Relevance Vector Regression.- A Distributed Computing Service for Neural Networks and Its Application to Flood Peak Forecasting.- Automatic Inference of Cabinet Approval Ratings by Information-Theoretic Competitive Learning.- Radial Basis Function Neural Networks to Foresee Aftershocks in Seismic Sequences Related to Large Earthquakes.- Motion Vector Prediction Using Frequency Sensitive Competitive Learning.- Forecasting the Flow of Data Packets for Website Traffic Analysis – ASVR-Tuned ANFIS/NGARCH Approach.- A Hybrid Model for Symbolic Interval Time Series Forecasting.- Peak Ground Velocity Evaluation by Artificial Neural Network for West America Region.- Forecasting Electricity Demand by Hybrid Machine Learning Model.- Short-Term Load Forecasting Using Multiscale BiLinear Recurrent Neural Network with an Adaptive Learning Algorithm.- A New Approach to Load Forecasting: Using Semi-parametric Method and Neural Networks.- Research of Least Square Support Vector Machine Based on Chaotic Time Series in Power Load Forecasting Model.- Neurodynamic and Particle Swarm Optimization.- Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks.- A Recurrent Neural Network for Non-smooth Convex Programming Subject to Linear Equality and Bound Constraints.- Neural Networks for Optimization Problem with Nonlinear Constraints.- A Novel Chaotic Annealing Recurrent Neural Network for Multi-parameters Extremum Seeking Algorithm.- Improved Transiently Chaotic Neural Network and Its Application to Optimization.- Quantum-Behaved Particle Swarm Optimization for Integer Programming.- Neural Network Training Using Stochastic PSO.- Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization.- Clonal Selection Theory Based Artificial Immune System and Its Application.- A Hybrid Algorithm to Infer Genetic Networks.- An Intelligent PSO-Based Control Algorithm for Adaptive Compensation Polarization Mode Dispersion in Optical Fiber Communication Systems.- Prediction of Construction Litigation Outcome Using a Split-Step PSO Algorithm.- Solving Multiprocessor Real-Time System Scheduling with Enhanced Competitive Scheme.- A Distributed Hybrid Algorithm for Optimized Resource Allocation Problem.- A Swarm Optimization Model for Energy Minimization Problem of Early Vision.- PSO-Based Hyper-Parameters Selection for LS-SVM Classifiers.- Training RBF Neural Networks with PSO and Improved Subtractive Clustering Algorithms.- Training RBF Neural Network Via Quantum-Behaved Particle Swarm Optimization.- Discrete Particle Swarm Optimization and EM Hybrid Approach for Naive Bayes Clustering.- Extended Particle Swarm Optimiser with Adaptive Acceleration Coefficients and Its Application in Nonlinear Blind Source Separation.- Application of a Hybrid Ant Colony Optimization for the Multilevel Thresholding in Image Processing.