The slowing pace of commodity microprocessor performance improvements combined with ever-increasing chip power demands has become of utmost concern to computational scientists. As...
Samuel Williams, John Shalf, Leonid Oliker, Shoaib...
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
Enhancing productivity for designing complex embedded systems requires system level design methodology and language support for capturing complex design in high level models. For ...
Hiren D. Patel, Sandeep K. Shukla, Reinaldo A. Ber...