Algorithm Exploration and Experimentation of RPCA-Based Matrix Separation

Author:

Qin Shiyue1ORCID,Ke Xinyi1ORCID,Chen Cuijia1ORCID

Affiliation:

1. Hunan University, China

Publisher

ACM

Reference10 articles.

1. Cristian Rusu , Lorenzo Rosasco . Fast approximation of orthogonal matrices and application to PCA. Signal Processing . Vol. 194(2022) , p. 108451 . Cristian Rusu, Lorenzo Rosasco. Fast approximation of orthogonal matrices and application to PCA. Signal Processing. Vol. 194(2022) , p. 108451.

2. Application of Locally Invariant Robust PCA for Underwater Image Recognition

3. Low-rank and sparse matrices fitting algorithm for low-rank representation

4. Fast algorithms for robust PCA via gradient descent;Yi;Advances in Neural Information Processing Systems.,2016

5. Chereau J P Dees B S Mandic D P. Robust Principal Component Analysis Based on Maximum Correntropy Power Iterations. arXiv preprint arXiv:1910.11374(2019). Chereau J P Dees B S Mandic D P. Robust Principal Component Analysis Based on Maximum Correntropy Power Iterations. arXiv preprint arXiv:1910.11374(2019).

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