Recently, there is an interest in using associations between web pages in providing users with pages relevant to what they are currently viewing. We believe that, to enable intell...
Dealing with verbose (or long) queries poses a new challenge for information retrieval. Selecting a subset of the original query (a "sub-query") has been shown to be an ...
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
We present a corpus-based approach for the automation of help-desk responses to users’ email requests. Automation is performed on the basis of the similarity between a request a...
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...