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 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.

Provides students and professionals in computer science, mathematics, statistics, and electrical engineering with a reference presenting recent advances in pattern recognition and string matching. The volume's 28 chapters treat a wide array of subjects including classification, matching, mining, feature selection, and applications. A selection of chapter titles includes correcting the training data; stochastic recognition of occluded objects; similarity measures and clustering of string patterns; deriving pseudo-probabilities of correctness given scores (DPPS); a survey of the combination of classifiers for supervised learning; energy minimization methods for static and dynamic curve matching; fast image segmentation under noise; and binary strings and multi-class learning problems. Lacks a subject index. Annotation ©2004 Book News, Inc., Portland, OR