[PDF.60sb] Robust Computer Vision: Theory and Applications (Computational Imaging and Vision)

Robust Computer Vision: Theory and Applications (Computational Imaging and Vision)

[PDF.dh83] Robust Computer Vision: Theory and Applications (Computational Imaging and Vision)

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 | #14485689 in Books |  Springer |  2003-04-30 | Original language:English | PDF # 1 |  9.21 x.56 x6.14l,1.23 | File type: PDF | 215 pages

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||0 of 0 people found the following review helpful.| For this subject, the book is very easy to read|By Judy Reinhold|There seems to be an overwhelming desire by some technical authors to obfuscate their subject as much as possible. I guess they figure if the the editor is completely snowed, they don't have to rewrite.

These authors have taken a difficult subject and written it in a straight forward manner. Don't get|About the Author||Nicu Sebe received his PhD degree from Leiden University in 2001. Currently, he is an Assistant Professor at Leiden University in the Netherlands. His main interest is in the fields of computer vision and pattern recognition, in partic

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 ...

You can specify the type of files you want, for your gadget.Robust Computer Vision: Theory and Applications (Computational Imaging and Vision)   |  N. Sebe, M.S. Lew.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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