Abstract:
Graph based semi-supervised learning (GBSSL) has attached considerable interests in machine learning, data mining and computer vision communities in recent years. In this talk, I will introduce the basic configurations in GBSSL, and a representative algorithm -- label propagation, and a multilevel scheme to make it more efficient. The applications of GBSSL in image segmentation, text classification and information retrieval will also be introduced in this talk.

Biography:
Dr. Fei Wang has got his Ph.d. degree from Tsinghua University, Beijing, China in 2008. He is now a postdoctoral researcher in School of Computing & Information Sciences, Florida International University. His main research interests include machine learning, data mining, information retrieval and pattern recognition. He has published over 40 papers in the top journal & conferences of the relevant field including IEEE TPAMI, IEEE TKDE, IEEE TNN, IEEE TMM, ICML, KDD, SIGIR, CVPR, AAAI.