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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing / by James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
(The Handbooks of Fuzzy Sets Series ; 4)

データ種別 電子ブック
出版者 Boston, MA : Springer US : Imprint: Springer
出版年 1999
本文言語 英語
大きさ XVI, 776 p : online resource

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URL 電子ブック


EB0018830

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内容注記 Pattern Recognition
Cluster Analysis for Object Data
Cluster Analysis for Relational Data
Classifier Design
Image Processing and Computer Vision
一般注記 Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering
著者標目 *Bezdek, James C. author
Keller, James author
Krisnapuram, Raghu author
Pal, Nikhil R. author
SpringerLink (Online service)
件 名 LCSH:Computer science
LCSH:Artificial intelligence
LCSH:Pattern recognition
LCSH:Control engineering
LCSH:Robotics
LCSH:Mechatronics
LCSH:Electrical engineering
FREE:Computer Science
FREE:Artificial Intelligence (incl. Robotics)
FREE:Pattern Recognition
FREE:Control, Robotics, Mechatronics
FREE:Electrical Engineering
分 類 DC23:006.3
巻冊次 ISBN:9780387245799 REFWLINK
ISBN 9780387245799
URL http://dx.doi.org/10.1007/b106267
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