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Neural Information Processing

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The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conferenc... Weiterlesen
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Beschreibung

The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions.



Inhalt

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.

Produktinformationen

Titel: Neural Information Processing
Untertitel: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II
Editor:
EAN: 9783540464822
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Anzahl Seiten: 1203
Veröffentlichung: 03.10.2006
Dateigrösse: 27.9 MB

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"