Monday 31 May 2010

Pattern Recognition

Pattern Recognition



Pattern Recognition, Fourth Edition


  • Frame Color: Matte Black/ Grey
  • Lens Color: Mirrored Brown
  • Gender: Unisex
  • Size:72-10-115
  • Made In: Austria

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. Get and download textbook Pattern Recognition, Fourth Edition for free
The accolades and acclaim are endless for William Gibson's coast-to-coast bestseller. Set in the post-9/11 present, 'Pattern Recognition' is the story of one woman's never-ending search for the now.
The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback.Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques Many more diagrams included--now in two color--to provide greater insight through visual presentation Matlab code of Pattern Recognition new edition

Download free books for Pattern Recognition and Image Analysis


This volume constitutes the refereed proceedings of the 5th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011, held in Las Palmas de Gran Canaria, Spain, in June 2011. The 34 revised full papers and 58 revised poster papers presented were carefully reviewed and selected from 158 submissions. The papers are organized in topical sections on computer vision; image processing and analysis; medical applications; and pattern recognition.

Syntactic pattern recognition: Michael G. Thomason, Rafael C. Gonzalez

Categories: Computational complexity, Pattern recognition systems, Classification->Books. Contributors: Mitra Basu - Author. Format: Hardcover

Categories: Computational complexity, Pattern recognition systems, Classification->Books. Contributors: Mitra Basu - Editor. Format: Paperback



Pattern Recognition Textbook


The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information
Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques Many more diagrams included--now in two color--to provide greater insight through visual presentation Matlab code of

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