Arindam Banerjee Graduate Student Laboratory for Artificial Neural Systems (LANS) Dept. of Electrical and Computer Engineering University of Texas at Austin, Austin, TX

I have moved to Computer Science & Engineering at the University of Minnesota, Twin Cities. Here is my new homepage.

Research

My research interests are in Machine Learning, Data Mining, Information Theory, Convex Analysis, Computational Games, and their applications in complex real world learning problems including problems in Text and Web Mining, Bioinformatics and Finance.

Recent Publications

• Model Based Overlapping Clustering
  A. Banerjee, C. Krumpelman, S. Basu, R. Mooney and J. Ghosh.
  International Conference on Knowledge Discovery and Data Mining (KDD) (2005) (ps,pdf).
  
  
• Clustering with Bregman Divergences
  A. Banerjee, S. Merugu, I. Dhillon and J. Ghosh.
  Journal of Machine Learning Research (JMLR) (2005) (pdf).
  
  
• Clustering on the Unit Hypersphere using Von Mises-Fisher Distributions
  A. Banerjee, I. Dhillon, J. Ghosh and S. Sra.
  Journal of Machine Learning Research (JMLR) (2005) (pdf).
  
  
• On the Optimality of Conditional Expectation as a Bregman Predictor
  A. Banerjee, X. Guo and H. Wang.
  IEEE Transactions on Information Theory, 51(7), 2664-2669 (2005) (pdf).
  
  
• A Clustering Based Approach to Perceptual Image Hashing
  V. Monga, A. Banerjee and B. Evans.
  IEEE Transactions on Signal Processing (2005).