Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
In this paper, we develop a probabilistic model for estimation of the numbers of cache misses during the sparse matrix-vector multiplication (for both general and symmetric matrice...
A supercompiler is a program which can performa deep transformation of programsusing a principle which is similarto partial evaluation, and can be referred to as metacomputation. ...
Andrei P. Nemytykh, Victoria A. Pinchuk, Valentin ...
— Desktop grids use the idle cycles of desktop PC’s to provide huge computational power at low cost. However, because the underlying desktop computing resources are volatile, a...
Derrick Kondo, Bruno Kindarji, Gilles Fedak, Franc...
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...