Pattern Recognition: From Classical To Modern Approaches
Will be published approx. on 26. November 2001
Book
Hardback
636 pages
978-981-02-4684-6 (ISBN)
Description
This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, Pattern Recognition: From Classical to Modern Approaches is a very useful resource.
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
ISBN-13
978-981-02-4684-6 (9789810246846)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Pattern recognition - evolution of methodologies and data mining, A. Pal and S.K. Pal; adaptive stochastic algorithms for pattern classification, M.A.L. Thathachar and P.S. Sastry; shape in images, K.V. Mardia; decision trees for classification - a review and some new results, R. Kothari and M. Dong; syntactic pattern recognition, A.K. Majumder and A.K. Ray; fuzzy sets as a logic canvas for pattern recognition, W. Pedrycz and N. Pizzi; neural network based pattern recognition, V. David Sanchez; networks of spiking neurons in data mining, K. Cios and D.M. Sala; genetic algorithms, pattern classification and neural networks design, S. Bandyopadhyay et al; rough sets in pattern recognition, A. Skowron and R. Swiniarski; automated generation of qualitative representations of complex objects by hybrid soft-computing methods, E.H. Ruspini and I.S. Zwir); writing speed and writing sequence invariant on-line handwriting recognition, S-H Cha and S.N. Srihari; tongue diagnosis based on biometric pattern recognition technology, K. Wang et al; and other papers.