
| 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 resarch 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 publised traditionally includes. -proceedings(published in time for the respective conference) -post-proceedings(consisting of thoroughly revised final full papers) -research monographs(which may be basde on outstanding PhD work, research projects, technical reports, etc.) |
| INVITED TALKS Towards Bridging the Gap between Statistical and Structural Pattern Recognition: Two New Concepts in Graph Matching Learning and Adaptation in Robotics Image-Based self-localization by Means of Zero Phase Representatio in Panoramic Images NEURAL NETWORKS & COMPUTATIONAL INTELLIGENCE A Cascaded Genetic Algorithm for Efficient Optimization and Pattei Matching Using Unlabelled Data to Train a Multilayer Perceptron A Neural Multi-expert Classification System for MPEG Audio Segmenation Pattern Recognition with Quantum Neural Networks Pattern Matching and Neural Networks Based Hybrid Forecasting System Invariant Face Detection in Color Images Using Orthogonal Fourier- Mellin Moments and Support Vector Machines CHARACTER RECOGNITION & DOCUMENT ANALYSIS Character Extraction from Interfering Background - Analysis of Double-Sided Handwritten Archival Documents An Enhanced HMM Topology in an LBA Framework for the Recognition of Handwritten Numeral Strings Segmentation of Printed Arabic Text A Time-Length Constrained Level Building Algorithm for Large Vocabulary Handwritten Word Recognition Preventing Overfitting in Learning Text Patterns for Document Categorization Image Document Categorization Using Hidden Tree Markov Mode and Structured Representations Handwriting Quality Evaluation FEATURE SE;ECTOPM & AMAMUSOS PATTERN RECOGNITION & CMASSOFOCATOPM IMAGE & SIGNAL PROCESSING APPLICATIONS IMAGE FEATURE ANALYSIS & RETRIEVAL TUTORIALS AUTHOR BIOGRAPHIES AUTHOR INDEX |
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