Robust Computer Vision - E-book

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Robust Computer Vision - ENG

Theory And Applications

N. Sebe; M. S. Lew

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$1,980.00

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Sinopsis

ISBN:	9789401702959
Formato:	Page Fidelity
Idioma:	Inglés
Editorial:	Springer Nature
Tema:	Computadoras
Subtema:	Visión computacional y reconocimiento de estándares
Año de publicación:	2013-06-29

From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on research by the authors and their collaborators, are presented. Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision."

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