Search, Search, and Research.
On this exploration Odyssey, silence is golden.
Learning comes from errors.


Research interests

My most recent interests are focusing on mathematics for data sciences, in particular topological and geometric methods for high dimensional data analysis and statistical machine learning, with applications in computational biology and information technology.

Monograph

A Dynamic Theory of Learning. PhD Dissertation, University of Calfornia at Berkeley. Supervisor: Steve Smale. December, 2006.
Published as A Dynamic Theory of Learning -- Online Learning and Stochastic Algorithms in Reproducing Kernel Hilbert Spaces, Verlag Dr. Muller, ISBN: 978-3-639-09390-2. 2008.

Recent Papers and Preprint


Papers in Computer Vision, Machine Learning and Pattern Recognition


Papers in System and Control


Conference Talks/Poster Presentations


Research Students


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Last update in October 2008