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: | Elektronisch E-Book |
Sprache: | English |
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Burlington, MA London
Academic Press
© 2009
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Ausgabe: | 4th ed |
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100 | 1 | |a Theodoridis, Sergios |d 1951- |e Verfasser |4 aut | |
245 | 1 | 0 | |a Pattern recognition |c Sergios Theodoridis, Konstantinos Koutroumbas |
250 | |a 4th ed | ||
264 | 1 | |a Burlington, MA |a London |b Academic Press |c © 2009 | |
300 | |a 1 online resource (xvii, 961 pages) |b illustrations | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Includes bibliographical references and index | ||
520 | |a 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 | ||
650 | 4 | |a Reconnaissance des formes (Informatique) | |
650 | 7 | |a COMPUTERS / Optical Data Processing |2 bisacsh | |
650 | 7 | |a Pattern recognition systems |2 fast | |
650 | 7 | |a Patroonherkenning |2 gtt | |
650 | 7 | |a Online-Ressource |2 gnd | |
650 | 4 | |a Pattern recognition systems | |
650 | 0 | 7 | |a MATLAB |0 (DE-588)4329066-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Mustererkennung |0 (DE-588)4040936-3 |2 gnd |9 rswk-swf |
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700 | 1 | |a Koutroumbas, Konstantinos |d 1967- |e Sonstige |4 oth | |
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Datensatz im Suchindex
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any_adam_object | |
author | Theodoridis, Sergios 1951- |
author_facet | Theodoridis, Sergios 1951- |
author_role | aut |
author_sort | Theodoridis, Sergios 1951- |
author_variant | s t st |
building | Verbundindex |
bvnumber | BV046125444 |
collection | ZDB-33-ESD |
ctrlnum | (ZDB-33-ESD)ocn610009838 (OCoLC)610009838 (DE-599)BVBBV046125444 |
dewey-full | 006.4 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.4 |
dewey-search | 006.4 |
dewey-sort | 16.4 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
edition | 4th ed |
format | Electronic eBook |
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id | DE-604.BV046125444 |
illustrated | Illustrated |
indexdate | 2024-12-24T07:47:17Z |
institution | BVB |
isbn | 9781597492720 1597492728 9780080949123 0080949126 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031505898 |
oclc_num | 610009838 |
open_access_boolean | |
physical | 1 online resource (xvii, 961 pages) illustrations |
psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
publishDate | 2009 |
publishDateSearch | 2009 |
publishDateSort | 2009 |
publisher | Academic Press |
record_format | marc |
spelling | Theodoridis, Sergios 1951- Verfasser aut Pattern recognition Sergios Theodoridis, Konstantinos Koutroumbas 4th ed Burlington, MA London Academic Press © 2009 1 online resource (xvii, 961 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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 Reconnaissance des formes (Informatique) COMPUTERS / Optical Data Processing bisacsh Pattern recognition systems fast Patroonherkenning gtt Online-Ressource gnd Pattern recognition systems MATLAB (DE-588)4329066-8 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Mustererkennung (DE-588)4040936-3 s MATLAB (DE-588)4329066-8 s 1\p DE-604 Koutroumbas, Konstantinos 1967- Sonstige oth http://www.sciencedirect.com/science/book/9781597492720 Verlag URL des Erstveröffentlichers Volltext data file rda 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Theodoridis, Sergios 1951- Pattern recognition Reconnaissance des formes (Informatique) COMPUTERS / Optical Data Processing bisacsh Pattern recognition systems fast Patroonherkenning gtt Online-Ressource gnd Pattern recognition systems MATLAB (DE-588)4329066-8 gnd Mustererkennung (DE-588)4040936-3 gnd |
subject_GND | (DE-588)4329066-8 (DE-588)4040936-3 |
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 | Reconnaissance des formes (Informatique) COMPUTERS / Optical Data Processing bisacsh Pattern recognition systems fast Patroonherkenning gtt Online-Ressource gnd Pattern recognition systems MATLAB (DE-588)4329066-8 gnd Mustererkennung (DE-588)4040936-3 gnd |
topic_facet | Reconnaissance des formes (Informatique) COMPUTERS / Optical Data Processing Pattern recognition systems Patroonherkenning Online-Ressource MATLAB Mustererkennung |
url | http://www.sciencedirect.com/science/book/9781597492720 |
work_keys_str_mv | AT theodoridissergios patternrecognition AT koutroumbaskonstantinos patternrecognition |