We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
A significant problem in scene interpretation is efficient bottom-up extraction and representation of salient features. In this paper, we address the problem of correlating sali...
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
The Instruction Register File (IRF) is an architectural extension for providing improved access to frequently occurring instructions. An optimizing compiler can exploit an IRF by ...
Stephen Roderick Hines, Gary S. Tyson, David B. Wh...