Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space

IEEE Trans. Image Processing, pp. 3941-3956, 2020.

Cited by: 5|Bibtex|Views128|Links
WOS EI

Abstract:

In this paper, we investigate the robust dictionary learning (DL) to discover the hybrid salient low-rank and sparse representation in a factorized compressed space. A Joint Robust Factorization and Projective Dictionary Learning (J-RFDL) model is presented. The setting of J-RFDL aims at improving the data representations by enhancing the...More

Code:

Data:

Your rating :
0

 

Tags
Comments