Understanding the graph structure of the Internet is a crucial step for building accurate network models and designing efficient algorithms for Internet applications. Yet, obtaini...
Dimitris Achlioptas, Aaron Clauset, David Kempe, C...
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
The notion of distributed functional monitoring was recently introduced by Cormode, Muthukrishnan and Yi [CMY08] to initiate a formal study of the communication cost of certain fu...
Chrisil Arackaparambil, Joshua Brody, Amit Chakrab...
A complex software system typically has a large number of objects in the memory, holding references to each other to implement an object model. Deciding when the objects should be...
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...