-42% OFFRobust Computer Vision (English, N. Sebe | M. S. Lew)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9781402012938 |
| ISBN-10 | 1402012934 |
| Author | N. Sebe | M. S. Lew |
Product Description
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
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Robust Computer Vision
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Advanced students, researchers, and domain experts seeking in-depth knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Customer Reviews
For this subject, the book is very easy to read
There seems to be an overwhelming desire by some technical authors to obfuscate their subject as much as possible. I guess they figure if the the editor is completely snowed, they don't have to rewrite.These authors have taken a difficult subject and written it in a straight forward manner. Don't get me wrong, it is useful at the graduate level. Equations abound for the purist. It just is easy to read if you are knowledgeable in the general subject area.They avoid a lot of jargon but do use
