Robust computer vision : theory and applications / by Nicu Sebe and Michael S. Lew.

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 Mar...

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Online Access: Full Text (via Springer)
Main Author: Sebe, Nicu
Other Authors: Lew, Michael S., 1965-
Format: eBook
Language:English
Published: Dordrecht ; Boston : Kluwer Academic, [2003]
Series:Computational imaging and vision ; v. 26.
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Call Number: TA1634 .S42 2003eb
TA1634 .S42 2003eb Available