Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space

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

Cited by: 13|Bibtex|Views238|DOI:https://doi.org/10.1109/TIP.2020.2965289
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com|dblp.uni-trier.de|arxiv.org

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

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