Stochastic Approximation

J. Goes, T. Zhang, R. Arora, G. Lerman, "Robust stochastic principal component analysis", International Conference on Artificial Intelligence and Statistics, AISTATS 2014, April 2014.

J. Feng, H. Xu, S. Yan, "Online Robust PCA via Stochastic Optimization", NIPS 2013, 2013.

S. Javed, S. Oh, J. Heo, S. Jung,"Robust Background Subtraction via Online Robust PCA using image decomposition", International Conference on Research in Adaptive and Convergent System, RACS 2014, 2014.

S. Javed, A. Sobral, S. Oh, T. Bouwmans, S. Jun, "OR-PCA with MRF for Robust Foreground Detection in Highly dynamic backgrounds", Asian conference on computer vision, ACCV 2014, November 2014.

S. Javed, A. Sobral, T. Bouwmans, S. Jung, "OR-PCA with Dynamic Feature Selection for Robust Background Subtraction", ACM Symposium On Applied Computing, SAC 2015, Salamanca, Spain, April 2015.

S. Javed, T. Bouwmans, S. Jung, "Depth Extended Online RPCA with Spatiotemporal Constraints for Robust Background Subtraction", Korea-Japan Workshop on Frontiers of Computer Vision, FCV 2015, Mokpo, South Korea, January 2015.

S. Javed, T. Bouwmans, S. Jung, “Combining ARF and OR-PCA Background Subtraction of Noisy Video”, International Conference in Image Analysis and Applications, ICIAP 2015, Genova, Italy, September 2015.

S. Javed, S. Oh, A. Sobral, T. Bouwmans , S. Jung, "Background Subtraction via Superpixel-based Online Matrix Decomposition with Structured Foreground Constraints", Workshop on Robust Subspace Learning and Computer Vision, ICCV 2015, Santiago, Chile, December 2015.

S. Javed, S. Oh, T. Bouwmans, S. Jung, "Robust Background Subtraction to Global Illumination Changes via Multiple Features based OR-PCA with MRF", Journal of Electronic Imaging, 2015.

G. Han, J. Wang, X. Cai, "Background subtraction for surveillance videos with camera jitter", International Conference on Awareness Science and Technology, ICAST 2015, pages 7-12, September 2015.

G. Han, J. Wang, X. Cai, "Background subtraction based on modified online robust principal component analysis", International Journal of Machine Learning and Cybernetics, pages 1839-1852, December 2017,

J. Shen, H. Xu,P. Li, "Online Optimization for Max-Norm Regularization", Advances in Neural Information Processing Systems, pages 1718-1726, 2014.

L. Luo, Z. Zhao, X. Li, “A Novel Surveillance Video Processing using Stochastic Low-Rank and Generalized Low-Rank Approximation Techniques”, International Conference on Machine Learning and Cybernetics, ICMLC 2018, pages 91-98, Chengdu, China, 2018.

C. Wu, H. Chen, X. Li, Y. Wu, N. Xiong, “Total Variation Regularized OR-PCA for Foreground Detection in Water Monitoring”, Data Science and Industrial Internet, Volume 2, No. 1, pages 56-70, 2019.