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Language
English
English
Book
Paperback
From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have foun...
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Libristo code: 01974677
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271 b
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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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About the book
Full name
Robust Computer Vision
Language
English
English
Binding
Book - Paperback
Date of issue
2010
Number of pages
215
EAN
9789048162901
ISBN
9048162904
Libristo code
01974677
Publishers
Springer Netherlands
Weight
414
Dimensions
160 x 240 x 12
Categories
Technology, Engineering, Agriculture
>
Electronics & communications engineering
>
Electronics engineering
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Automatic control engineering
>
Robotics
Computing & Information Technology
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Computer science
>
Artificial intelligence
>
Pattern recognition
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