Machine Interpretation Of Patterns: Image Analysis And Data Mining
This review volume provides from both theoretical and application points of views, recent developments and state-of-the-art reviews in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence.Machine Interpretation of Patterns: Image Analysis and Data Mining is an essential and invaluable resource for professionals and advanced graduates in computer science, mathematics and life sciences. It can also be considered as an integrated volume to researchers interested in doing interdisciplinary research where computer science is a component.
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Machine Interpretation Of Patterns: Image Analysis And Data Mining
This review volume provides from both theoretical and application points of views, recent developments and state-of-the-art reviews in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence.Machine Interpretation of Patterns: Image Analysis and Data Mining is an essential and invaluable resource for professionals and advanced graduates in computer science, mathematics and life sciences. It can also be considered as an integrated volume to researchers interested in doing interdisciplinary research where computer science is a component.
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Machine Interpretation Of Patterns: Image Analysis And Data Mining

Machine Interpretation Of Patterns: Image Analysis And Data Mining

Machine Interpretation Of Patterns: Image Analysis And Data Mining

Machine Interpretation Of Patterns: Image Analysis And Data Mining

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Overview

This review volume provides from both theoretical and application points of views, recent developments and state-of-the-art reviews in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence.Machine Interpretation of Patterns: Image Analysis and Data Mining is an essential and invaluable resource for professionals and advanced graduates in computer science, mathematics and life sciences. It can also be considered as an integrated volume to researchers interested in doing interdisciplinary research where computer science is a component.

Product Details

ISBN-13: 9789814299183
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 06/29/2010
Series: Statistical Science And Interdisciplinary Research , #11
Pages: 316
Product dimensions: 6.00(w) x 9.00(h) x 0.80(d)

Table of Contents

Foreword v

Preface vii

1 Combining Information with a Bayesian Multi-class Multi-kernel Pattern Recognition Machine T. Damoulas M. A. Girolami 1

2 Image Quality Assessment Based on Weighted Perceptual Features D. V. Rao L. P. Reddy 29

3 Quasi-reversible Two-dimension Fractional Differentiation for Image Entropy Reduction A. Nakib A. Nait-Ali H. Oulhadj P. Siarry 57

4 Parallel Genetic Algorithm Based Clustering for Object and Background Classification P. Kanungo P. K. Nanda A. Ghosh 69

5 Bipolar Fuzzy Spatial Information: First Operations in the Mathematical Morphology Setting I. Bloch 91

6 Approaches to Intelligent Information Retrieval G. Pasi 113

7 Retrieval of On-line Signatures H. N. Prakash D. S. Guru 131

8 A Two Stage Recognition Scheme for Offline Handwritten Devanagari Words B. Shaw S. K. Parui 145

9 Fall Detection from a Video in the Presence of Multiple Persons V. Vishwakarma S. Sural C. Mandal 167

10 Fusion of GIS and SAR Statistical Features for Earthquake Damage Mapping at the Block Scale G. Trianni G. Lisini P. Gamba F. Dell' Acqua 195

11 Intelligent Surveillance and Pose-invariant 2D Face Classification B. C. Lovell C. Sanderson T. Shan 207

12 Simple Machine Learning Approaches to Safety-related Systems C. Moewes C. Otte R. Kruse 231

13 Nonuniform Multi Level Crossings for Signal Reconstruction N. Poojary H. Kumar A. Rao 251

14 Adaptive Web Services Brokering K. M. Gupta D. W. Aha 269

15 Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Over Expression in Escherichia Coli and Breast Cancer Classification P. Kumar B. D. Kulkarni V. K. Jayaraman 289

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