Pattern Recognition:
Pattern recognition is a fast growing area with applications in a widely diverse number of fields such as communications engineering, bioinformatics, data mining, content-based database retrieval, to name but a few. This new edition addresses and keeps pace with the most recent advancements in these...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Burlington
Elsevier Science
2006
|
| Ausgabe: | 3rd ed |
| Schlagworte: | |
| Zusammenfassung: | Pattern recognition is a fast growing area with applications in a widely diverse number of fields such as communications engineering, bioinformatics, data mining, content-based database retrieval, to name but a few. This new edition addresses and keeps pace with the most recent advancements in these and related areas. This new edition: a) covers Data Mining, which was not treated in the previous edition, and is integrated with existing material in the book, b) includes new results on Learning Theory and Support Vector Machines, that are at the forefront of today's research, with a lot of interest both in academia and in applications-oriented communities, c) for the first time treats audio along with image applications since in today's world the most advanced applications are treated in a unified way and d) the subject of classifier combinations is treated, since this is a hot topic currently of interest in the pattern recognition community. * The latest results on support vector machines including v-SVM's and their geometric interpretation * Classifier combinations including the Boosting approach * State-of-the-art material for clustering algorithms tailored for large data sets and/or high dimensional data, as required by applications such as web-mining and bioinformatics * Coverage of diverse applications such as image analysis, optical character recognition, channel equalization, speech recognition and audio classification |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (854 pages) |
| ISBN: | 9780080513614 9780123695314 |
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| 650 | 4 | |a Algorithms | |
| 650 | 4 | |a Image processing -- Digital techniques | |
| 650 | 4 | |a Optical pattern recognition | |
| 650 | 4 | |a Pattern recognition systems | |
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Datensatz im Suchindex
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| author | Theodoridis, Sergios |
| author_facet | Theodoridis, Sergios |
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| author_sort | Theodoridis, Sergios |
| author_variant | s t st |
| building | Verbundindex |
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| 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 | 3rd ed |
| format | Electronic eBook |
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| isbn | 9780080513614 9780123695314 |
| language | English |
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| spelling | Theodoridis, Sergios Verfasser aut Pattern Recognition 3rd ed Burlington Elsevier Science 2006 © 2006 1 online resource (854 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Pattern recognition is a fast growing area with applications in a widely diverse number of fields such as communications engineering, bioinformatics, data mining, content-based database retrieval, to name but a few. This new edition addresses and keeps pace with the most recent advancements in these and related areas. This new edition: a) covers Data Mining, which was not treated in the previous edition, and is integrated with existing material in the book, b) includes new results on Learning Theory and Support Vector Machines, that are at the forefront of today's research, with a lot of interest both in academia and in applications-oriented communities, c) for the first time treats audio along with image applications since in today's world the most advanced applications are treated in a unified way and d) the subject of classifier combinations is treated, since this is a hot topic currently of interest in the pattern recognition community. * The latest results on support vector machines including v-SVM's and their geometric interpretation * Classifier combinations including the Boosting approach * State-of-the-art material for clustering algorithms tailored for large data sets and/or high dimensional data, as required by applications such as web-mining and bioinformatics * Coverage of diverse applications such as image analysis, optical character recognition, channel equalization, speech recognition and audio classification Algorithms Image processing -- Digital techniques Optical pattern recognition Pattern recognition systems Mustererkennung (DE-588)4040936-3 gnd rswk-swf MATLAB (DE-588)4329066-8 gnd rswk-swf Mustererkennung (DE-588)4040936-3 s MATLAB (DE-588)4329066-8 s 1\p DE-604 Theodoridis, Sergios Sonstige oth Koutroumbas, Konstantinos Sonstige oth Erscheint auch als Druck-Ausgabe Theodoridis, Sergios Pattern Recognition 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Theodoridis, Sergios Pattern Recognition Algorithms Image processing -- Digital techniques Optical pattern recognition Pattern recognition systems Mustererkennung (DE-588)4040936-3 gnd MATLAB (DE-588)4329066-8 gnd |
| subject_GND | (DE-588)4040936-3 (DE-588)4329066-8 |
| title | Pattern Recognition |
| title_auth | Pattern Recognition |
| title_exact_search | Pattern Recognition |
| title_full | Pattern Recognition |
| title_fullStr | Pattern Recognition |
| title_full_unstemmed | Pattern Recognition |
| title_short | Pattern Recognition |
| title_sort | pattern recognition |
| topic | Algorithms Image processing -- Digital techniques Optical pattern recognition Pattern recognition systems Mustererkennung (DE-588)4040936-3 gnd MATLAB (DE-588)4329066-8 gnd |
| topic_facet | Algorithms Image processing -- Digital techniques Optical pattern recognition Pattern recognition systems Mustererkennung MATLAB |
| work_keys_str_mv | AT theodoridissergios patternrecognition AT koutroumbaskonstantinos patternrecognition |