Pattern recognition : from classical to modern approaches /
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...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
River Edge, N.J. :
World Scientific,
2001.
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| Subjects: | |
| Online Access: | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=91476 |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xxii, 612 pages) : illustrations |
| ISBN: | 981238653X 9789812386533 1281347582 9781281347589 |
