Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
We present an adaptive framework for condensation algorithms in the context of human-face tracking. We attack the face tracking problem by making factored sampling more efficient a...
Yui Man Lui, J. Ross Beveridge, L. Darrell Whitley
— In this paper, we propose a novel and efficient content-aware dispatching algorithm. Our approach eliminates the potential bottleneck and the single point of failure problems ...
We consider the energy consumed in radio transmission of a set of sensors forming a data gathering wireless network. Our objective is to enhance the lifetime of such networks by e...
Samar Agnihotri, Pavan Nuggehalli, H. S. Jamadagni
— SuperMatrix out-of-order scheduling leverages el abstractions and straightforward data dependency analysis to provide a general-purpose mechanism for obtaining parallelism from...
Ernie Chan, Field G. Van Zee, Enrique S. Quintana-...