Robust Computer Vision is popular PDF and ePub book, written by N. Sebe in 2013-06-29, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Robust Computer Vision can be Read Online from any device for your convenience.
Robust Computer Vision Book PDF Summary
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."
Detail Book of Robust Computer Vision PDF
- Author : N. Sebe
- Release : 29 June 2013
- Publisher : Springer Science & Business Media
- ISBN : 9789401702959
- Genre : Computers
- Total Page : 226 pages
- Language : English
- PDF File Size : 21,6 Mb
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