Biography
Biography: Yufang Tang
Abstract
As a new theory of signal sampling, sparse representation derived from compressed sensing, which is obviously different from Nyquist sampling theory. More and more image classification methods based on sparse representation have been proved to be effectively used in different fields, such as face recognition, hyper spectral image classification, handwriting recognition, medical image processing, etc. Image classification methods based on sparse representation has become a hotspot of research topic in recent years. Not only the research institutes, but also the governments and the militaries have invested lots of energy and finance in this attractive task. In this presentation, we intend to review its history and development tendency, and reveal our latest research progress on sparse representation for image classification.
