Download or read book Robust Computer Vision written by N. Sebe and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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."