Pattern Recognition In Softcomputing Paradigm
Will be published approx. on 6. February 2001
Book
Hardback
412 pages
978-981-02-4491-0 (ISBN)
Description
Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features used to realise the system.A distinguishing feature of this volume is that it deals with all three aspects of PR, namely feature analysis, clustering and classifier design. It also encompasses image processing methodologies and image retrieval with subjective information. The other interesting aspect of the volume is that it covers all three major facets of soft computing: fuzzy logic, neural networks and evolutionary computing.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
ISBN-13
978-981-02-4491-0 (9789810244910)
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Schweitzer Classification
Person
Content
Dimensionality reduction techniques for interactive visualization, exploratory data analysis and classification, A. Konig; feature selection by artificial neural network for pattern classification, B. Chakraborty; a new clustering with estimation of cluster number based on genetic algorithm, K. Imai et al; minimizing the measurement cost in the classification of new samples by neural-network-based classifiers, H. Ishibuchi and M. Nii; extraction of fuzzy rules from numerical data for classifiers, N.R. Pal and A. Sarkar; a texture image segmentation method using neural networks and binary features, J. Zhang and S. Oe; image retrieval system based on subjective information, K Yoshida et al. (Part contents).