We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
Consider the task of exploring the Web in order to find pages of a particular kind or on a particular topic. This task arises in the construction of search engines and Web knowled...
An important issue arising from Peer-to-Peer applications is how to accurately and efficiently retrieve a set of K best matching data objects from different sources while minimizi...
In future multi-cores, large amounts of delay and power will be spent accessing data in large L2/L3 caches. It has been recently shown that OS-based page coloring allows a non-uni...
Manu Awasthi, Kshitij Sudan, Rajeev Balasubramonia...
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...