Sep 22, 2016 · Experiments with face reconstruction and recognition demonstrate the benefits of TSNA over other approaches. Published in: IEEE Transactions on ...

Sep 22, 2016 · Experiments with face re-construction and recognition demonstrate the benefits of TSNA over other approaches.

Oct 18, 2016 · Abstract—Structured sparsity, as an extension of standard sparsity, has shown the outstanding performance when dealing.

We use weighted nuclear norm as classification criterion to obtain the final recognition results. Experiments on several public face databases demonstrate the ...

Nuclear norm based matrix regression with applications to face recognition with occlusion and illumination changes. J Yang, L Luo, J Qian, Y Tai, F Zhang, Y Xu.

Experimental results demonstrate the performance advantage of NMR over the state-of-the-art regression-based methods for face recognition in the presence of ...

To combine the advantages of structured sparsity and nuclear norm, this paper presents a tree-structured nuclear norm approximation (TSNA) model as-suming that ...

Tree-Structured Nuclear Norm Approximation with. Applications to Robust Face Recognition, submitted. Page 57. PCA Lab, NJUST. Contributors. Jianjun Qian.

Jul 1, 2019 · Nuclear norm based matrix regression (NMR) method has been proposed to alleviate the influence of contiguous occlusion on face recognition ...

... The key to sparse sub- space clustering is to design a good representation model which can reveal the real subspace structure of high-dimensional data [16].