This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
A Bayesian framework for deformable pattern classification has been proposed in [1] with promising results for isolated handwritten character recognition. Its performance, however...
The explosion of Web opinion data has made essential the need for automatic tools to analyze and understand people’s sentiments toward different topics. In most sentiment analy...
We present a parallel code generation algorithm for complete applications and a new experimental methodology that tests the efficacy of our approach. The algorithm optimizes for d...
Multiprocessor computer systems are currently widely used in commercial settings to run critical applications. These applications often operate on sensitive data such as customer ...
Brian Rogers, Chenyu Yan, Siddhartha Chhabra, Milo...