Online compressed robust PCA

@article{Pan2017OnlineCR,
  title={Online compressed robust PCA},
  author={Pingbo Pan and Jiashi Feng and Ling Chen and Yi Yang},
  journal={2017 International Joint Conference on Neural Networks (IJCNN)},
  year={2017},
  pages={1041-1048}
}
In this work, we consider the problem of robust principal component analysis (RPCA) for streaming noisy data that has been highly compressed. This problem is prominent when one deals with high-dimensional and large-scale data and data compression is necessary. To solve this problem, we propose an online compressed RPCA algorithm to efficiently recover the… CONTINUE READING