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Bibliographic Details
Other Authors: Siarry, Patrick (Contributor)
Format: Electronic eBook
Language:English
Published: London Hoboken, NJ ISTE ; 2009
London Hoboken, NJ Wiley 2009
Series:Digital signal and image processing series
Subjects:
Links:https://learning.oreilly.com/library/view/-/9781848210448/?ar
Summary:This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms, and artificial immune systems).
Item Description:Includes bibliographical references and index. - Print version record
Physical Description:1 Online-Ressource (xxi, 361 pages) illustrations
ISBN:9780470611319
0470611316
9780470393949
0470393947
1848210442
9781848210448