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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Format: | eBook |
Language: | English |
Published: |
Dordrecht ; Boston :
Kluwer Academic,
[2003]
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Series: | Computational imaging and vision ;
v. 26. |
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Internet
Full Text (via Springer)Online
Call Number: |
TA1634 .S42 2003eb
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TA1634 .S42 2003eb | Available |