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 ...
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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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Add this copy of Robust Computer Vision: Theory and Applications to cart. $21.50, new condition, Sold by Scholars Attic rated 4.0 out of 5 stars, ships from Lake Barrington, IL, UNITED STATES, published 2003 by Springer Netherlands.
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NEW BOOK-No international shipping available. Sewn binding. Cloth over boards. 230 p. Contains: Illustrations. Computational Imaging and Vision, 26. Audience: General/trade.
Add this copy of Robust Computer Vision: Theory and Applications to cart. $55.14, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2003 by Springer.
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Add this copy of Robust Computer Vision: Theory and Applications to cart. $87.70, new condition, Sold by discount_scientific_books rated 5.0 out of 5 stars, ships from Sterling Heights, MI, UNITED STATES, published 2003 by Springer.