Information-Theoretic Dictionary Learning for Image Classification

Qiang Qiu, Vishal M. Patel, Rama Chellappa
2014 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We present a two-stage approach for learning dictionaries for object classification tasks based on the principle of information maximization. The proposed method seeks a dictionary that is compact, discriminative, and generative. In the first stage, dictionary atoms are selected from an initial dictionary by maximizing the mutual information measure on dictionary compactness, discrimination and reconstruction. In the second stage, the selected dictionary atoms are updated for improved
more » ... tive and discriminative power using a simple gradient ascent algorithm on mutual information. Experiments using real datasets demonstrate the effectiveness of our approach for image classification tasks.
doi:10.1109/tpami.2014.2316824 pmid:26353059 fatcat:pvqesv7elzag7lu7d7p5tvdupu