You might also like

More about Robust Computer Vision

• Book details
• Synopsis
• Trending among others

You get 249 loyalty points

Book synopsis

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."

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Robust Computer Vision
• Subtitle: Theory and Applications
• Author: N. Sebe, M.S. Lew
• Language: English
• Binding: Hardback
• Number of pages: 215
• EAN: 9781402012938
• ISBN: 1402012934
• ID: 01415230
• Publisher: Springer Netherlands
• Weight: 503 g
• Dimensions: 240 × 160 × 14 mm
• Published: 2003

Trending among others

---

---

---