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» Workshop on massive datasets
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ICVGIP
2004
13 years 8 months ago
Improved Cut-Based Foreground Identification
Automatic content based schemes, as opposed to those with human endeavor, have become important as users attempt to organize massive data presented in the form of multimedia data ...
Sharat Chandran, Satwik Hebbar, Vishal Mamania, Ab...
ICASSP
2010
IEEE
13 years 7 months ago
Acceleration of sequence kernel computation for real-time speaker identification
The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, T...
CLOUDCOM
2010
Springer
13 years 5 months ago
Rapid Processing of Synthetic Seismograms Using Windows Azure Cloud
Currently, numerically simulated synthetic seismograms are widely used by seismologists for seismological inferences. The generation of these synthetic seismograms requires large ...
Vedaprakash Subramanian, Liqiang Wang, En-Jui Lee,...
BMCBI
2007
153views more  BMCBI 2007»
13 years 7 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
BMCBI
2010
134views more  BMCBI 2010»
13 years 7 months ago
R-Gada: a fast and flexible pipeline for copy number analysis in association studies
Background: Genome-wide association studies (GWAS) using Copy Number Variation (CNV) are becoming a central focus of genetic research. CNVs have successfully provided target genom...
Roger Pique-Regi, Alejandro Cáceres, Juan R...