Soft Computing Approach to Pattern Recognition and Image Processing

By: Ashish Ghosh (Editor), Sankar Kumar Pal (Editor)

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Hardcover | 1 December 2002

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Hardcover
372 Pages

Dimensions(cm)
24.13 x 16.51 x 3.18

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This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent 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 book 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.

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Non-Fiction Psychology Cognition & Cognitive Psychology Computing & I.T.Computer Science Image Processing Artificial Intelligence Pattern Recognition Medicine Medicine in General Computer Networking & Communications Booktopia Publisher Services

World Scientific Publishing

Preface
Pattern Recognition	p. 1
Multiple Classifier Systems	p. 3
Building Decision Trees from the Fourier Spectrum of a Tree Ensemble	p. 23
Clustering Large Data Sets	p. 41
Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery	p. 65
Image Processing and Vision	p. 95
Dissimilarity Measures Between Fuzzy Sets or Fuzzy Structures	p. 97
Early Vision: Concepts and Algorithms	p. 103
Self-organizing Neural Network for Multi-level Image Segmentation	p. 129
Geometric Transformation by Moment Method with Wavelet Matrix	p. 145
New Computationally Efficient Algorithms for Video Coding	p. 163
Soft-Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning	p. 191
Granular Computing and Case Based Reasoning	p. 215
Towards Granular Multi-agent Systems	p. 217
Granular Computing and Pattern Recognition	p. 235
Case Base Maintenance: A Soft Computing Perspective	p. 251
Real Life Applications	p. 281
Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image	p. 283
Protein Structure Prediction using Soft Computing	p. 307
Pattern Classification for Biological Data Mining	p. 329
Bibliography	p. 345
Index	p. 346
Editors' Biography	p. 348
Table of Contents provided by Blackwell. All Rights Reserved.

Soft Computing Approach to Pattern Recognition and Image Processing

At a Glance

Hardcover

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