Pattern recognition: from classical to modern approaches
Saved in:
| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
River Edge, N.J.
World Scientific
2001
|
| Subjects: | |
| Online Access: | FAW01 FAW02 Volltext |
| Item Description: | This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, "Pattern Recognition: From Classical to Modern Approaches" is a useful resource |
| Physical Description: | 1 Online-Ressource (xxii, 612 pages) |
| ISBN: | 1281347582 9781281347589 9789812386533 981238653X |
Staff View
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:19:05Z |
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| isbn | 1281347582 9781281347589 9789812386533 981238653X |
| language | English |
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| publisher | World Scientific |
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| spelling | Pattern recognition from classical to modern approaches editors, Sankar K. Pal, Amita Pal River Edge, N.J. World Scientific 2001 1 Online-Ressource (xxii, 612 pages) txt rdacontent c rdamedia cr rdacarrier This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, "Pattern Recognition: From Classical to Modern Approaches" is a useful resource COMPUTERS / Optical Data Processing bisacsh Pattern recognition systems fast Pattern recognition systems Pal, Sankar K. Sonstige oth Pal. Amita Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=91476 Aggregator Volltext |
| spellingShingle | Pattern recognition from classical to modern approaches COMPUTERS / Optical Data Processing bisacsh Pattern recognition systems fast Pattern recognition systems |
| title | Pattern recognition from classical to modern approaches |
| title_auth | Pattern recognition from classical to modern approaches |
| title_exact_search | Pattern recognition from classical to modern approaches |
| title_full | Pattern recognition from classical to modern approaches editors, Sankar K. Pal, Amita Pal |
| title_fullStr | Pattern recognition from classical to modern approaches editors, Sankar K. Pal, Amita Pal |
| title_full_unstemmed | Pattern recognition from classical to modern approaches editors, Sankar K. Pal, Amita Pal |
| title_short | Pattern recognition |
| title_sort | pattern recognition from classical to modern approaches |
| title_sub | from classical to modern approaches |
| topic | COMPUTERS / Optical Data Processing bisacsh Pattern recognition systems fast Pattern recognition systems |
| topic_facet | COMPUTERS / Optical Data Processing Pattern recognition systems |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=91476 |
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