Jingyang.Zhang的博客

文献来源 Gao Z, Cheong L F, Wang Y X. Block-sparse RPCA for salient motion detection[J]. IEEE transactions on pattern analysis and machine intelligence, 2014, 36(10): 1975-1987.传统的RPCA问题框架中，观测到的视频序列被分解成low

文献来源： Xu J, Ithapu V K, Mukherjee L, et al. GOSUS: Grassmannian online subspace updates with structured-sparsity[C]//Proceedings of the IEEE International Conference on Computer Vision. 2013: 3376-3383

文献来源：Liu X, Zhao G, Yao J, et al. Background subtraction based on low-rank and structured sparse decomposition[J]. IEEE Transactions on Image Processing, 2015, 24(8): 2502-2514.透过现象看本质本文其实就是在一点点细微的地方对于

文章来源 Jia K, Chan T H, Ma Y. Robust and practical face recognition via structured sparsity[J]. Computer Vision–ECCV 2012, 2012: 331-344.Highlight作为一种 sparse representation based classification method（S

文章来源： Zhou X, Yang C, Yu W. Moving object detection by detecting contiguous outliers in the low-rank representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(3): 597-

Rachel Zhang 的RPCA学习笔记较为系统的介绍了利用 ALM 来求解 RPCA 问题的过程。其中数学过程相对复杂，且部分推导过程没有介绍。因此博主抽了空用手写稿的形式梳理了一下 RPCA 的过程，自己推导了全套的数学流程，希望对各位初学者有所帮助。大神请绕道。警示！！！全文手写稿，图像质量不高请见谅~

文章来源 [1] Tang G, Nehorai A. Robust principal component analysis based on low-rank and block-sparse matrix decomposition[C]//Information Sciences and Systems (CISS), 2011 45th Annual Conference on. IE