Pattern recognition : from classical to modern approaches / edited by Sankar K. Pal and Amita Pal
Material type: TextPublication details: New Jersey World Scientific 2020Description: 611 pISBN:- 9780000988966
- 006.4 PAL-S
Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
Books | BITS Pilani Hyderabad | 003-007 | General Stack (For lending) | 006.4 PAL-S (Browse shelf(Opens below)) | Available | 45515 |
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-settheoretic, 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 very useful resource.
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