神经信息处理LNCS-4233
2006-12
Springer Verlag
King, Irwin (EDT)/ Wang, Jun (EDT)/ Chan, Laiwan (EDT)/ Wang, Deliang (EDT)
1203
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.）.
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
