Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition

  title={Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition},
  author={Ran He and Wei-Shi Zheng and Bao-Gang Hu and Xiangwei Kong},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
This paper proposes a novel nonnegative sparse representation approach, called two-stage sparse representation (TSR), for robust face recognition on a large-scale database. Based on the divide and conquer strategy, TSR decomposes the procedure of robust face recognition into outlier detection stage and recognition stage. In the first stage, we propose a general multisubspace framework to learn a robust metric in which noise and outliers in image pixels are detected. Potential loss functions… CONTINUE READING
Highly Cited
This paper has 148 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 52 extracted citations

149 Citations

Citations per Year
Semantic Scholar estimates that this publication has 149 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 45 references

The AR face database

  • A. M. Martinez, R. Benavente
  • Computer Vision Center (CVC), Tech. Rep., 1998.
  • 1998
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…