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    Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil Pal
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      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.
      Format: CONTRIBUTORS: James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil Pal EAN: 9780387245157 COUNTRY: United States PAGES: WEIGHT: 2420 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2005-03-25 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, TECHNOLOGY & ENGINEERING / Automation, TECHNOLOGY & ENGINEERING / Electrical WIDTH: 155 cm SPINE:

      Book Themes:

      Electrical engineering, Automatic control engineering, Artificial intelligence, Pattern recognition

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      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.
      Format: CONTRIBUTORS: James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil Pal EAN: 9780387245157 COUNTRY: United States PAGES: WEIGHT: 2420 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2005-03-25 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, TECHNOLOGY & ENGINEERING / Automation, TECHNOLOGY & ENGINEERING / Electrical WIDTH: 155 cm SPINE:

      Book Themes:

      Electrical engineering, Automatic control engineering, Artificial intelligence, Pattern recognition

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