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Can I read Robust Computer Vision: Theory and Applications (Computational Imaging and Vision (26)) on EtoBox?
Robust Computer Vision: Theory and Applications (Computational Imaging and Vision (26)) by Sebe, N., Lew, M.S. is a nonfiction available to read on EtoBox.
What is Robust Computer Vision: Theory and Applications (Computational Imaging and Vision (26)) about?
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."
Who reads Robust Computer Vision: Theory and Applications (Computational Imaging and Vision (26))?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sebe, N., Lew, M.S.
- Publisher
- Kluwer Academic Publishers
- Published
- 2003
- Language
- EN
- ISBN
- 9789401702959
- Category
- nonfiction
- Subjects
- Technology, Science, Management
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