Aug 19, 2016 · In this paper, we propose a novel low-rank representation (LRR) method to address the single sample per person (SSPP) problem in face ...
Dec 31, 2015 · In this paper, we propose a novel low-rank representation (LRR) method to address the single sample per person (SSPP) problem in face ...
Mar 6, 2019 · In this paper, we propose a novel low-rank regularized generic representation method to address the single sample per person problem in face ...
In this paper, we propose a novel low-rank representation (L-. RR) method to address the single sample per person (SSPP) problem in face recognition by ...
In this paper, we propose a novel low-rank representation (LRR) method to address the single sample per person (SSPP) problem in face recognition by ...
Bibliographic details on Learning Low-Rank Representation with Block-Sparse Structure for Single Sample Face Recognition.
A novel low-rank regularized generic representation method to address the single sample per person problem in face recognition, which simultaneously employs ...
Abstract: In this paper, we propose a novel low-rank representation (LRR) method to address the single sample per person (SSPP) problem in face recognition by ...
Mar 25, 2019 · ABSTRACT In this paper, we propose a novel low-rank regularized generic representation method to address the single sample per person ...
Sparse representation for face recognition based on discriminative low-rank dictionary learning. In Computer Vision and Pat- tern Recognition, 2586–2593.
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