Synopsis
This book describes the optimization methods most commonly encountered in signal and image 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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OPTIMISATION IN SIGNAL AND IMAGE PROCESSING
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Optimisation In Signal And Image Processing
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OPTIMISATION IN SIGNAL AND IMAGE PROCESSING
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OPTIMISATION IN SIGNAL AND IMAGE PROCESSING
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