Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
Tiling has long been used to improve cache performance. Recursion has recently been used as a cache-oblivious method of improving cache performance. Both of these techniques are n...
Joon-Sang Park, Michael Penner, Viktor K. Prasanna
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
Our current research into programming models for parallel web services composition is targeted at providing mechanisms for obtaining higher throughput for large scale compute and ...
Peter M. Kelly, Paul D. Coddington, Andrew L. Wend...
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...