Title
An α-Divergence Based Approach for Robust Dictionary Learning.
Abstract
In this paper, a robust sequential dictionary learning (DL) algorithm is presented. The proposed algorithm is motivated from the maximum likelihood perspective on dictionary learning and its link to the minimization of the Kullback-Leibler divergence. It is obtained by using a robust loss function in the data fidelity term of the DL objective instead of the usual quadratic loss. The proposed robus...
Year
DOI
Venue
2019
10.1109/TIP.2019.2922074
IEEE Transactions on Image Processing
Keywords
DocType
Volume
Dictionaries,Approximation algorithms,Sparse matrices,Machine learning,Maximum likelihood estimation,Signal processing algorithms,Minimization
Journal
28
Issue
ISSN
Citations 
11
1057-7149
1
PageRank 
References 
Authors
0.35
9
2
Name
Order
Citations
PageRank
Asif Iqbal19223.76
Abd-Krim Seghouane27812.27