We consider the problem of learning mixtures of arbitrary symmetric distributions. We formulate sufficient separation conditions and present a learning algorithm with provable gua...
Anirban Dasgupta, John E. Hopcroft, Jon M. Kleinbe...
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
We consider the problem of estimating set-expression cardinality in a distributed streaming environment where rapid update streams originating at remote sites are continually tran...
Abhinandan Das, Sumit Ganguly, Minos N. Garofalaki...
Assessing similarity between features is a key step in object recognition and scene categorization tasks. We argue that knowledge on the distribution of distances generated by sim...
Gertjan J. Burghouts, Arnold W. M. Smeulders, Jan-...
Humans naturally share knowledge by telling stories. This is a form of knowledge exchange we engage in right from early childhood, and over time we learn to recall, order and orga...