Springer Robust Computer Vision (English, Special Edition, 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…

Why You Should Read This Book

• Written by acclaimed author N. Sebe | M. S. Lew
• Published by Springer, a respected name in academic and professional publishing
• Covers the domain of Computer Vision & Pattern Recognition with depth and clarity
• Available in English — ideal for students, researchers, and professionals alike
• A trusted reference work that belongs on every serious reader's shelf

Product Details

This Special Edition of Robust Computer Vision is published by Springer and carries ISBN-13 9781402012938. Packaged securely for delivery across India, this edition is ideal for personal libraries, classroom use, and professional reference.

Who Is This Book For?

Whether you are a student preparing for advanced coursework, a researcher deepening your expertise, or a professional staying current with the field, Robust Computer Vision by N. Sebe | M. S. Lew is an excellent choice. Order your copy today from BookBajar and enjoy free shipping with Cash on Delivery available across India.