Reverse-engineering of gene networks using linear models often results in an underdetermined system because of excessive unknown parameters. In addition, the practical utility of ...
Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participa...
D. Brent Weatherly, David K. Lowenthal, Mario Naka...
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
A problem with running distributed shared memory applications in heterogeneous environments is that making optimal use of available resources often requires significant changes t...
This paper describes GulfStream, a scalable distributed software system designed to address the problem of managing the network topology in a multi-domain server farm. In particul...