Pattern recognition
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. The authors, leading experts in the field of pattern recognition, have provided an up-to-d...
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| Format: | eBook |
| Language: | Inglés |
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Amsterdam ; London :
Elsevier/Academic Press
c2009.
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| Edition: | 4th ed |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628353106719 |
| Summary: | 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. 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 grea |
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| Item Description: | Previous ed.: Amsterdam: Academic, 2003. |
| Physical Description: | 1 online resource (981 p.) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781282541153 9786612541155 9780080949123 |
