Pattern recognition and string matching /

This volume is the most comprehensive one in its field. It is a collection of 28 state-of-the-art articles contributed by experts of pattern recognition, string matching, or both. It contains fundamental concepts and notations, as well as reports on current research with respect to both methodology...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Chen, Dechang, Cheng, Xiuzhen
Format: eBook
Language:English
Published: Dordrecht ; Boston : Kluwer Academic Publishers, 2002.
Series:Combinatorial optimization ; v. 13.
Subjects:
Online Access:Connect to the full text of this electronic book

MARC

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505 0 |a Correcting the training data -- Context free grammars and semantic networks for flexible assembly recognition -- Stochastic recognition of occluded objects -- Approximate string matching for angular string elements with applications to on-line and off-line handwriting recognition -- Uniform, fast convergence of arbitrarily tight upper and lower bounds on the Bayes error -- Building RBF networks for time series classification by boosting -- Similarity measures and clustering of string patterns -- Pattern recognition for intrusion detection in computer networks -- Model-based pattern recognition -- Structural pattern recognition in graphs -- Deriving pseudo-probabilities of correctness given scores (DPPS) -- Weighed mean and generalized median of strings -- A region-based algorithm for classifier-independent feature selection -- Inference of K-piecewise testable tree languages -- Mining partially periodic patterns with unknown periods from event stream -- Combination of classifiers for supervised learning: A survey -- Image segmentation and pattern recognition: A novel concept, the histogram of connected elements -- Prototype extraction for k-NN classifiers using median strings -- Cyclic string matching: Efficient extract and approximate algorithms -- Homogeneity, autocorrelation and anisotropy in patterns -- Robust structural indexing through quasi-invariant shape signatures and feature generation -- Energy minimisation methods for static and dynamic curve matching -- Recent feature selection methods in statistical pattern recognition -- Fast image segmentation under noise -- Set analysis of coincident errors and its applications for combining classifiers -- Enhanced neighbourhood specifications for pattern classification -- Algorithmic synthesis in neural network training for pattern recognition -- Binary strings and multi-class learning problems. 
520 |a This volume is the most comprehensive one in its field. It is a collection of 28 state-of-the-art articles contributed by experts of pattern recognition, string matching, or both. It contains fundamental concepts and notations, as well as reports on current research with respect to both methodology and applications. In particular, it includes string matching related techniques for structural pattern recognition. It also explores many applications of pattern recognition strategies to image segmentation, intrusion detection, handwriting recognition and others. This book is a good reference tool for scientists who depend on problems in pattern recognition and string matching. Target readers include researchers in computer science, statistics, mathematics, and electrical Engineering, as well as students. It is suitable for both specialists and uninformed readers. 
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