http://www.vision.ee.ethz.ch/~yangme/

Meng Yang（杨猛博士后） 很多论文在稀疏字典学习方面，尤其是FDDL 等，可用在动作识别。不少文章在 的主页上有code.

Associate Professor, Shenzhen University

Object Detection/Recognition, Sparse Representation, Dictionary Learning

论文阅读1

IJCV2014上 Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification（FDDL）

摘要：

基于稀疏表示的图像识别中，字典起了很关键的作用。本文提出了一个新的字典学习（DL）的新方法来改进分类性能。基于Fisher判别准则的，一个结构化的字典，对应着类别标号的字典原子被不断地学习；这样稀疏编码后的重建误差用来模式分类，同时，Fisher判别准则也加到稀疏系数上，使得稀疏系数具有小的类内方差和大的类间方差。

基于重建误差和稀疏系数这两种信息同时用来分类，本文提出了一个Fisher判别式的字典学习机制（FDDL）。在实验方面，与基于稀疏表示和字典学习的机制做了对比。

在科学网上的主业为：

http://id.sciencenet.cn/u/mikemengyang博     客：http://blog.sciencenet.cn/u/mikemengyang邮     箱：yangmengpolyu@gmail.com;yang.meng@szu.edu.cn所在 机构：Computer science & software engineering school, Shenzhen University职务/职称：Associate Professor  

[教育经历]2009.9 - 2012.9 Department of Computing, Hong Kong Polytechnic University, Hong Kong, Ph.D in Computer Science2006.9 - 2009.4 School of Automation, Northwestern Polytechnical University, Xi'an, Master of Control theory and application2005.9 - 2006.6 School of Automation, Northwestern Polytechnical University, Xi'an, Bachlor of Information engineering2002.9 - 2005.6 Honors College, Northwestern Polytechnical University, Xi'an[研究经历] 2012.11 - 2014.04 Computer vision lab, ETH Zurich, Switzerland, Postdoc Fellow with Prof. Luc Van Gool 2012.09 - 2012.10 Department of Computing, Hong Kong Polytechnic University, Hong Kong, Research Associate[研究方向]更多>>信息科学 -> 计算机科学 -> 计算机应用技术
关 键 词：Computer Vision; Pattern Classification; Machine Learning
International ConferenceCVPR 2014ECCV 2014ACCV 2014(deadline 20 June)My seminar reports:Dictoinary learning for image classification[论文]更多>>M. Yang, L. Zhang, J. Yang and D. Zhang, "Regularized Robust Coding for Face Recognition," IEEE Trans. Image Processing, vol. 22, no. 5, pp. 1753-1766, 2013. M. Yang, L. Zhang, Simon C.K. Shiu, and D. Zhang, "Robust Kernel Representation with Statistical Local Features for Face Recognition," IEEE Trans. Neural Networks and Learning System, vol. 24, no. 6, pp. 900-912, 2013. M. Yang, L. Zhang, Simon C.K. Shiu, and D. Zhang, "Monogenic Binary Coding: An Effici…[专利]更多>>