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Optimisation in Signal and Image Processing

Optimisation in Signal and Image Processing

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Optimisation in Signal and Image Processing

Optimisation in Signal and Image Processing

Category

Artificial Intelligence

Natural Language Processing

Data Modeling

Author

Patrick Siarry

Publication

Wiley-ISTE

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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).

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ISBN-10

ISBN-13

9781848210448

Publisher

Wiley-ISTE

Price

172

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PDF

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Patrick Siarry

About the Author

Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Crteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systmes Intelligents - LiSSi.

--This text refers to the hardcover edition.

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