Dechang Chen / Xiuzhen Cheng (Hgg.)

Pattern Recognition and String Matching

Herausgegeben von Chen, Dechang; Cheng, Xiuzhen

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Combinatorial Optimization 13
• Verlag: Springer Netherlands
• Artikelnr. des Verlages: 978-1-4020-0953-2
• 2003 edition
• Seitenzahl: 772
• Erscheinungstermin: 30. November 2003
• Englisch
• Abmessung: 247mm x 167mm x 37mm
• Gewicht: 1471g
• ISBN-13: 9781402009532
• ISBN-10: 1402009534
• Artikelnr.: 22416903

Inhaltsangabe

Foreword. Correcting the Training Data; R. Barandela, et al. Context Free Grammars and Semantic Networks for Flexible Assembly Recognition; C. Bauckhage, G. Sagerer. Stochastic Recognition of Occluded Objects; B. Bhanu, et al. Approximate String Matching for Angular String Elements with Applications to On-Line and Off-line Handwriting Recognition; S.-H. Cha, S.N. Srihari. Uniform, Fast Convergence of Arbitrarily Tight Upper and Lower Bounds on the Bayes Error; D. Chen, et al. Building RBF Networks for Time Series Classification by Boosting; J.R. Diez, C.J.A. González. Similarity Measures and Clustering of String Patterns; A. Fred. Pattern Recognition for Intrusion Detection in Computer Networks; G. Giacinto, F. Roli. Model-Based Pattern Recognition; M. Haindl. Structural Pattern Recognition in Graphs; L. Holder, et al. Deriving Pseudo-Probabilities of Correctness Given Scores (DPPS); K. Ianakiev, V. Govindaraju. Weighed Mean and Generalized Median of Strings; Y. Jiang, H. Bunke. A Region-Based Algorithm for Classifier-Independent Feature Selection; M. Kudo. Inference of K-Piecewise Testable Tree Languages; D. López, et al. Mining Partially Periodic Patterns With Unknown Periods From Event tream; S. Ma, J.L. Hellerstein. Combination of Classifiers for Supervised Learning: A Survey; S. Ma, C. Ji. Image Segmentation and Pattern Recognition: A Novel Concept, the Historgram of Connected Elements; D. Maravell, M.Á. Patricio. Prototype Extraction for k -NN Classifiers using Median Srings; C.D. Martínez-Hinarejos, et al. Cyclic String Matching: Efficient Exact and Approximate Algorithms; A. Marzal, et al. Homogeneity, Autocorrelation and Anisotropy in Patterns; A. Molina. Robust Structural Indexing through Quasi-Invariant Shape Signatures and Feature Generation; H. Nishida. Energy Minimisation Methods for Static and Dynamic Curve Matching; E. Nyssen, et al. Recent Feature Selection Methods in Statistical Pattern Recognition; P. Pudil, et al. Fast Image Segmentation under Noise; R.M. Romano, D. Vitulano. Set Analysis of Coincident Errors and Its Applications for Combining Classifiers; D. Ruta, B. Gabrys. Enhanced Neighbourhood Specifications for Pattern Classification; J.S. Sán;nchez, A.I. Marqués. Algorithmic Synthesis in Neural Network Training for Pattern Recognition; K. Sirlantzis. Binary Strings and multi-class learning problems; T. Windeatt, R. Ghaderi.

Rezensionen

From the reviews:
"This edited volume is concerned with pattern recognition with an evident focus on string matching treated as one of the fundamentals in the area. The collection of contributed papers is a clear testimony to the recent developments and research directions. Overall, the book is a comprehensive, well-focused and carefully organized compendium of recent developments in string-oriented pattern recognition of high interest to researchers and practitioners in string-oriented pattern recognition." (Witold Pedryez, Mathematical Reviews, Issue 2005 b)