http://blog.sina.com.cn/s/blog_631a4cc401019gqx.html
今年的low rank显然比去年要火一些。
1.Robust Visual Domain Adaptation with Low-Rank Reconstruction (PDF)
I-Hong Jhuo, Dong Liu, Shih-Fu Chang, Der-Tsai Lee
这篇文章是做多视角的物体识别的。一般认为不同视角的物体分布在相同的低维流型上，但是
本文认为如果噪声过大本质上并不在一个流行上面。所以将低秩的约束加在变换系数上了。
也可以说这篇文章是在domain adaption上面加了low rank的约束。
2.Sparse Representation for Face Recognition based on Discriminative Low-Rank Dictionary Learning
Long Ma, Chunheng Wang, Baihua Xiao, Wen Zhou
这篇文章可以说在判别词典上面加上low rank的约束，也可以说在low rank上面加上了判别词典
的信息。对目标函数的解法套用了别人的方法。实验做得很充分。
以下是今年CVPR中关于low rank的一些文章，感兴趣的可以看一看：
A Unified Approach to Salient Object Detection via Low Rank Matrix Recovery (PDF)
Xiaohui Shen, Ying Wu
Practical Low-Rank Matrix Approximation under Robust \(L_{1}\)-Norm
Yinqiang Zheng, Guangcan LIU, Shigeki Sugimoto, Shuicheng YAN, Masatoshi Okutomi
Automatic Mitral Leaflet Tracking in Echocardiography by Outlier Detection in the Low-rank Representation
Xiaowei Zhou, Weichuan Yu
Robust Late Fusion with Multi-Task Low Rank Minimization (PDF)
Guangnan Ye, Dong Liu, I-Hong Jhuo, Shih-Fu Chang
Non-Negative Low Rank and Sparse Graph for Semi-Supervised Learning
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Nenghai Yu
Low-Rank Matrix Recovery with Structural Incoherence for Robust Face Recognition
Chih-Fan Chen, Chia-Po Wei, Yu-Chiang Frank Wang