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Advances in Pattern Recognition - ICAPR 2001 Second International Conference Rio de Janeiro, Brazil, March 11-14, 2001 Proceedings - Singh, Sameer (Herausgeber); Kropatsch, Walter (Herausgeber); Murshed, Nabeel (Herausgeber)
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Singh, Sameer (Herausgeber); Kropatsch, Walter (Herausgeber); Murshed, Nabeel (Herausgeber):
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ISBN: 3540417672

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Advances in Pattern Recognition - ICAPR 2001 - Taschenbuch

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Details zum Buch
Advances in Pattern Recognition - ICAPR 2001

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.

Detailangaben zum Buch - Advances in Pattern Recognition - ICAPR 2001


EAN (ISBN-13): 9783540417675
ISBN (ISBN-10): 3540417672
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2001
Herausgeber: Springer Berlin Heidelberg
475 Seiten
Gewicht: 0,742 kg

Buch in der Datenbank seit 2007-12-06T08:59:34+01:00 (Berlin)
Buch zuletzt gefunden am 2023-12-01T14:40:06+01:00 (Berlin)
ISBN/EAN: 3540417672

ISBN - alternative Schreibweisen:
3-540-41767-2, 978-3-540-41767-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: conférences rio, kropat, walter
Titel des Buches: rio janeiro, pattern recognition, 2013, 2001, international proceedings, lecture notes computer science


Daten vom Verlag:

Autor/in: Sameer Singh; Nabeel Murshed; Walter Kropatsch
Titel: Lecture Notes in Computer Science; Advances in Pattern Recognition - ICAPR 2001 - Second International Conference Rio de Janeiro, Brazil, March 11-14, 2001 Proceedings
Verlag: Springer; Springer Berlin
482 Seiten
Erscheinungsjahr: 2001-02-28
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XIV, 482 p.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; 3D; Augmented Reality; Markov Model; Pattern recognition; Support Vector Machine; Textur; biometrics; character recognition; classification; document analysis; fingerprint; handwriting recognition; image analysis; object recognition; topology; Automated Pattern Recognition; Computer Vision; Computer Graphics; Natural Language Processing (NLP); Maschinelles Sehen, Bildverstehen; Grafikprogrammierung; Natürliche Sprachen und maschinelle Übersetzung; EA

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 RealTime 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.
Includes supplementary material: sn.pub/extras

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