An information bottleneck approach to optimize the dictionary of visual data

Conference/Journal
IEEE
Authors
Shyju Wilson C. Krishna Mohan
BibTex
Abstract
Abstract: In this paper, we propose a novel information theoretic approach to obtain compact and discriminative dictionary of visual data. This approach squeezes discriminative information from dictionary for efficient representation using information bottleneck. The dictionary is optimized from the initial sparse dictionary which is learned from action data. In this, a constraint information optimization problem is formulated in which mutual information between initial and optimized dictionary is minimized while maximizing mutual information ...