Robust Recognition via Information Theoretic Learning

• Main Authors: He, Ran (Author), Hu, Baogang (Author), Yuan, Xiaotong (Author), Wang, Liang (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Computer graphics.; Image processing.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Image Processing and Computer Vision.

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...

Table of Contents:

• Introduction
• M-estimators and Half-quadratic Minimization
• Information Measures
• Correntropy and Linear Representation
• ℓ1 Regularized Correntropy
• Correntropy with Nonnegative Constraint.