神經(jīng)信息處理LNCS-4233

內(nèi)容概要

The LNCS series reports state-of-the-art results in computer science research，development，and education，at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community，with numerous individuals，as well as with prestigious organizations and societies，LNCS has grown into the most comprehensive computer science research forum available.    The scope of LNCS，including its subseries LNAI，spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes.    —proceedings （published in time for the respective conference）    —post-proceedings （consisting of thoroughly revised final full papers）    —research monographs（which may be based on outstanding PhD work，research projects，technical reports，etc.）.

書籍目錄

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 RecognitionFace 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……Author Index

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