: Many companies have recognized the strategic importance of the knowledge hidden in their large databases and have built data warehouses. Typically, updates are collected and appl...
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
This paper presents an application of the general sample-to-object approach to the problem of invariant image classification. The approach results in defining new SVM kernels base...
Because uncertain reasoning is often intractable, it is hard to reason with a large amount of knowledge. One solution to this problem is to specify a set of possible models, some s...
Charles A. Sutton, Brendan Burns, Clayton T. Morri...
HeteroSort load balances and sorts within static or dynamic networks using a conceptual torus mesh. We ported HeteroSort to a 16-node Beowulf cluster with a central switch architec...
Pamela Yang, Timothy M. Kunau, Bonnie Holte Bennet...