Advances in Pattern Recognition - ICAPR 2001 (Paperback)

Sameer Singh

ISBN 10: 3540417672 / ISBN 13: 9783540417675

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2001

Riguardo questo articolo

Paperback. This book constitutes the refereed proceedings of the Second International Conference on Advances in Pattern Recognition, ICAPR 2001, held in Rio de Janeiro, Brazil in March 2001. The 40 revised full papers presented together with three invited papers and two tutorial presentations were carefully reviewed and selected for inclusion in the proceedings. The book is organized in topical sections on neural networks and computational intelligence, character recognition and document analysis, feature selection and analysis, pattern recognition and classification, image and signal processing applications, and image feature analysis and retrieval. It should be noted that, while usually, the foreground writing appears darker than the background image, as shown in sample image Figure 2(a), there are cases where the foreground and background have similar intensities as shown in Figure 2(b), or worst still, the background is more prominent than the foreground as in Figure 2(c). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9783540417675

Dati bibliografici

• Titolo: Advances in Pattern Recognition - ICAPR 2001 (Paperback)
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Data di pubblicazione: 2001
• Lingua: Inglese
• ISBN 10: 3540417672
• ISBN 13: 9783540417675
• Rilegatura: Paperback
• Condizione: new

Descrizione articolo

Riassunto

This book constitutes the refereed proceedings of the Second International Conference on Advances in Pattern Recognition, ICAPR 2001, held in Rio de Janeiro, Brazil in March 2001. The 40 revised full papers presented together with three invited papers and two tutorial presentations were carefully reviewed and selected for inclusion in the proceedings. The book is organized in topical sections on neural networks and computational intelligence, character recognition and document analysis, feature selection and analysis, pattern recognition and classification, image and signal processing applications, and image feature analysis and retrieval.

Contenuti

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 representation in panoramic images.- NEURAL NETWORKS & COMPUTATIONAL INTELLIGENCE.- A Cascaded Genetic Algorithm for efficient optimization and pattern matching.- Using Unlabelled Data to Train a Multilayer Perceptron.- A Neural Multi -Expert Classification System for MPEG Audio Segmentation.- 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 Models and Structured Representations.- Handwriting Quality Evaluation.- FEATURE SELECTION & ANALYSIS.- Texture Based Look-Ahead for Decision-Tree Induction.- Feature Based Decision Fusion.- Feature Selection Based on Fuzzy Distances Between Clusters: First Results on Simulated Data.- Efficient and Effective Feature Selection in the Presence of Feature Interaction and Noise.- Integrating Recognition Paradigms in a Multiple-path Architecture.- A New Geometric Tool for Pattern Recognition - An Algorithm for Real Time Insertion of Layered Segment Trees.- PATTERN RECOGNITION & CLASSIFICATION.- Improvements in K-Nearest Neighbor Classification.- Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-Recursive Criterion Forms.- Model Validation for Model Selection.- Grouping via the Matching of Repeated Patterns.- Complex Fittings.- Application of adaptive committee classifiers in on-line character recognition.- Learning Complex Action Patterns with CRGST.- IMAGE & SIGNAL PROCESSING APPLICATIONS.- Identification of electrical activity of the brain associated with changes in behavioural performance.- Automatic Camera Calibration for Image Sequences of a Football Match.- Locating and Tracking Facial Landmarks Using Gabor Wavelet Networks.- Complex Images and Complex Filters: A Unified Model for Encoding and Matching Shape and Colour.- White Matter/Gray Matter Boundary Segmentation Using Geometric Snakes: A Fuzzy Deformable Model.- Multiseeded Fuzzy Segmentation on the Face Centered Cubic Grid.- IMAGE FEATURE ANALYSIS & RETRIEVAL.- 3D Wavelet based Video Retrieval.- Combined Invariants to Convolution and Rotation and their Application to Image Registration.- Modelling Plastic Distortion in Fingerprint Images.- Image Retrieval Using a Hierarchy of Clusters.- Texture-adaptive active contour models.- A Generalized Local Binary Pattern Operator for Multiresolution Gray Scale and Rotation Invariant Texture Classification.- Analysis of Curved Textured Surfaces Using Local Spectral Distortion.- Texture Analysis Experiments with Meastex and Vistex Benchmarks.- TUTORIALS.- Advances in Statistical Feature Selection.- Learning-Based Detection, Segmentation and Matching of Objects.- Automated Biometrics.