We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
Abecassis, Sera, Yonas, and Schwade (2001) have shown that young children represent shapes more metrically, and perhaps more holistically, than do older children and adults. How d...
Previous approaches in query processing do not consider queries to automatically combine results obtained from different information sources, i.e. they do not support information...
This paper proposes a new method for comparing clusterings both partitionally and geometrically. Our approach is motivated by the following observation: the vast majority of previ...
Michael H. Coen, M. Hidayath Ansari, Nathanael Fil...
Current e-learning environments do not provide sufficient support for group collaboration. The absence of the visual identification of the users makes effective collaboration in e...
Katherine G. Franceschi, Ronald M. Lee, David Hind...