Overview

A collection of 16 articles containing reviews and material. In a unified way, they seek to describe the development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The text details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bioinformatics with a scope for future research. The contributors, from around the world, aim to present a balanced mixture of theory, algorithms and applications.

Full Product Details

Author:   Ashish Ghosh (Indian Statistical Inst, India) ,  Sankar Kumar Pal (Indian Statistical Inst, India) ,  Rok Ting
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Volume:   53
Dimensions:   Width: 16.00cm , Height: 23.70cm , Length: 23.00cm
Weight:   0.658kg
ISBN:  

9789812382511

ISBN 10:   9812382518
Pages:   372
Publication Date:   26 November 2002
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Part I: multiple classifier systems, J. Kittler; building decision trees from the Fourier spectrum of a tree ensemble, H. Kargupta; clustering large data sets, M.N. Murty; multi-objective variable string genetic classifier - application to remote sensing imagery, S. Bandyopadhyay et al. Part II: dissimilarity measures between fuzzy sets or fuzzy structures, K.R. Bhutani and A. Rosenfeld; early vision -concepts and algorithms, V.D. Gesu; self-organizing neural network for multi-level image segmentation, A. Ghosh and A. Sen; geometric transformation by moment method with wavelet matrix, Y.Y. Tang et al; new computationally efficient algorithms for video coding, T. Acharya and H.M. Kim; soft computing for computational media aesthetics - analyzing video content for meaning, S. Chaudhury et al. Part III: towards granular multi-agent systems, A. Skowron; granular computing and pattern recognition, W. Pedrycz; case base maintenance - a soft computing perspective, S.C.K. Shiu. Part IV: autoassociative neural network models for pattern recognition tasks in speech and image, B. Yegnanarayana et al; protein structure prediction using soft computing, S. Mitra et al; pattern classification for biological data mining, S.B. Cho.

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