Abstract | ||
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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 Iqbal | 1 | 92 | 23.76 |
Abd-Krim Seghouane | 2 | 78 | 12.27 |