Robust Recognition Via Information Theoretic Learning

by Liang Wang, Xiaotong Yuan, Baogang Hu, et al.

This Springer Brief represents a comprehensive review of information theoretic methods for robust recognition. A variety of information theoretic methods have been proffered in the past decade, in a large variety of computer vision applications; this work brings them together, attempts to impart the theory, optimization and usage of information entropy. The authors resort to a new information theoretic concept, correntropy, as a robust measure and...

• Format: Paperback
• Language: English
• ISBN: 3319074156
• ISBN13: 9783319074153
• Release Date: September 2014
• Publisher: Springer
• Length: 110 Pages
• Weight: 0.41 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"