Robust Computer Vision (English, N. Sebe | M. S. Lew)
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Robust Computer Vision by N. Sebe | M. S. Lew is listed under AI & Machine Learning on BookBajar. Full details, specifications and reader reviews are below.
Book Details
Publisher
Springer
Language
English
ISBN-13
9781402012938
ISBN-10
1402012934
Author
N. Sebe | M. S. Lew
About the Book
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 researc…
ISBN: 9781402012938
ISBN-13: 9781402012938
ISBN-10: 1402012934
Reader's Guide
What This Book Covers
- ·The main subject matter of Robust Computer Vision
- ·Ideas and detail relevant to AI & Machine Learning
- ·Context that helps make sense of the material as a whole
Best Suited For
Readers with an interest in AI & Machine Learning, from students to hobbyists.
Why It Stands Out
- ·Ships as a genuine physical copy, checked before dispatch
- ·Covered by BookBajar's 15-day return window
Frequently Asked Questions
What is the price of Robust Computer Vision?
Robust Computer Vision starts from ₹5364 at BookBajar. Available in Paperback.
Who is the author of Robust Computer Vision?
N. Sebe | M. S. Lew is the author of Robust Computer Vision. Browse more books by N. Sebe | M. S. Lew on BookBajar.
Is Robust Computer Vision available in Paperback and Hardcover?
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What is the ISBN of Robust Computer Vision?
Robust Computer Vision has ISBN 9781402012938 (ISBN-10: 1402012934). Use this to confirm you're ordering the exact edition listed here.
What can I expect from Robust Computer Vision?
About the Book 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.
Product ID: isbn-9781402012938
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