Face recognition by fusion of local and global matching scores using ds theory An evaluation with uni-classifier and multi-classifier paradigm，关于人脸识别的一篇不错的文章
This paper demonstrates theoretically and empirically that a greedy algorithm called Orthogonal Matching Pursuit (OMP) can reliably recover a signal with m nonzero entries in dimension d given O(mln d) random linear measurements of that signal.
