When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
Abstract--For the management of a virtual P2P supercomputer one is interested in subgroups of processors that can communicate with each other efficiently. The task of finding these...
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
We divide a string into k segments, each with only one sort of symbols, so as to minimize the total number of exceptions. Motivations come from machine learning and data mining. F...
Processing of mesh edges lies at the core of many advanced realtime rendering techniques, ranging from shadow and silhouette computations, to motion blur and fur rendering. We pre...
Pedro V. Sander, Diego Nehab, Eden Chlamtac, Hugue...