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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| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Burlington, MA ; London
Academic Press
2009
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| Edition: | 4th ed. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781597492720/?ar |
| 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 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 the most common methods are given at the end of each chapter An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. The companion book is available separately or at a special packaged price (Book ISBN: 9780123744869. Package ISBN: 9780123744913) Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms Solutions manual, powerpoint slides, and additional resources are available to faculty using the text for their course. Register at www.textbooks.elsevier.com and search on "Theodoridis" to access resources for instructor. |
| Item Description: | Includes bibliographical references and index. - Print version record |
| Physical Description: | 1 Online-Ressource (xvii, 961 Seiten) illustrations |
| ISBN: | 9781597492720 1597492728 9780080949123 0080949126 |
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| spelling | Theodoridis, Sergios 1951- VerfasserIn aut Pattern recognition Sergios Theodoridis, Konstantinos Koutroumbas 4th ed. Burlington, MA ; London Academic Press 2009 1 Online-Ressource (xvii, 961 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record 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 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 the most common methods are given at the end of each chapter An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. The companion book is available separately or at a special packaged price (Book ISBN: 9780123744869. Package ISBN: 9780123744913) Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms Solutions manual, powerpoint slides, and additional resources are available to faculty using the text for their course. Register at www.textbooks.elsevier.com and search on "Theodoridis" to access resources for instructor. Pattern recognition systems Pattern Recognition, Automated Reconnaissance des formes (Informatique) COMPUTERS ; Optical Data Processing Online-Ressource Patroonherkenning Koutroumbas, Konstantinos 1967- MitwirkendeR ctb 9781597492720 Erscheint auch als Druck-Ausgabe 9781597492720 |
| spellingShingle | Theodoridis, Sergios 1951- Pattern recognition Pattern recognition systems Pattern Recognition, Automated Reconnaissance des formes (Informatique) COMPUTERS ; Optical Data Processing Online-Ressource Patroonherkenning |
| title | Pattern recognition |
| title_auth | Pattern recognition |
| title_exact_search | Pattern recognition |
| title_full | Pattern recognition Sergios Theodoridis, Konstantinos Koutroumbas |
| title_fullStr | Pattern recognition Sergios Theodoridis, Konstantinos Koutroumbas |
| title_full_unstemmed | Pattern recognition Sergios Theodoridis, Konstantinos Koutroumbas |
| title_short | Pattern recognition |
| title_sort | pattern recognition |
| topic | Pattern recognition systems Pattern Recognition, Automated Reconnaissance des formes (Informatique) COMPUTERS ; Optical Data Processing Online-Ressource Patroonherkenning |
| topic_facet | Pattern recognition systems Pattern Recognition, Automated Reconnaissance des formes (Informatique) COMPUTERS ; Optical Data Processing Online-Ressource Patroonherkenning |
| work_keys_str_mv | AT theodoridissergios patternrecognition AT koutroumbaskonstantinos patternrecognition |