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Describes the optimization methods 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. Editor(s): Siarry, Patrick. Series: ISTE. Num Pages: 352 pages, Illustrations. BIC Classification: UYS. Category: (P) Professional & Vocational. Dimension: 239 x 165 x 26. Weight in Grams: 694. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9781848210448
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).
Über die Autorin bzw. den Autor:
Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systèmes Intelligents - LiSSi.
Titel: Optimisation in Signal and Image Processing
Verlag: ISTE Ltd and John Wiley & Sons Inc
Erscheinungsdatum: 2009
Einband: Hardcover
Zustand: New
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Hardcover. Zustand: new. Hardcover. 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). Describes the optimization methods 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781848210448
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Zustand: New. Describes the optimization methods 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 . Bestandsnummer des Verkäufers 597090967
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Hardcover. Zustand: new. Hardcover. 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). Describes the optimization methods 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9781848210448
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