Pattern recognition : from classical to modern approaches
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006.3843 LIP/I Introduction to quantum algorithms via linear algebra | 006.4 MUL Multibiometrics for human identification / | 006.4 RIP/P Pattern recognition and neural networks / | 006.4 SAN/P Pattern recognition : from classical to modern approaches | 006.4 WEB/S Statistical pattern recognition / | 006.42 LIU/F Face geometry and appearance modeling : concepts and applications | 006.5 RAJ/D Digital logic and computer organization |
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 very useful resource.
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