Research Seminar :Sumantra Datta Roy ,Unsupervised Learning: k-Means, Gaussian Mixtures and EM
Abstract Unsupervised learning/Data clustering is one of the most studied areas in Pattern Recognition today. The lecture will give a gentle introduction to the generic area of unsupervised learning with K-Means, Gaussian Mixtures and the EM Algorithm, and give applications in pattern recognition, image analysis (briefly touching on a bit of biometrics), and video analysis e.g., automatic background subtraction. The lecture will be intended more as a popular lecture, with lots of practical examples, a little bit of math, and a lot of history. In the topic of data clustering, Prof.Anil K Jain's paper, ``Data clustering: 50 years beyond K-means'' happens to be perhaps one of the most downloaded papers in the area.
Biography Sumantra Dutta Roy is a B.E. (Computer Engineering) from D.I.T., Delhi, and completed his M.Tech and Ph.D. degrees at the Department of Computer Science and Engineering, I.I.T. Delhi. He was with the Department of Electrical Engineering, I.I.T. Bombay from 2001 to 2007. Currently, he is with the Department of Electrical Engineering at I.I.T. Delhi, where he is an Associate Professor. He is a recipient of 2004 INAE Young Engineer Award (Indian National Academy of Engineering), and the 2004-05 BOYSCAST Fellowship of the Department of Science and Technology, Government of India. His research interests are in Computer Vision and Image Analysis, Music Information Retrieval, and Bioinformatics