Locally Adaptive Sparse Representation for Detection, Classification, and Recognition. Lectuures given by Prof Trac Tran from john Hopkins university

A hybrid approach combining extreme learning machine and sparse representation for image classification

This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the

核稀疏用于字典学习和稀疏表示，可用于纹理分类等模式识别问题。-Nuclear sparse dictionary for learning and sparse representation can be used for texture classification pattern recognition problem.