Grid environments enable users to share non-dedicated resources that lack performance guarantees. This paper describes the design of application-centric middleware components to a...
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
We propose a method for simultaneous detection, localization and segmentation of objects of a known category. We show that this is possible by using segments as features. To this ...
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...