Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
This work is based on the premise that online learning environments can potentially help develop communities of scholars by enabling participants to discover persons and resources...
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
One of the key requirement for Grid infrastructures is the ability to share resources with nontrivial qualities of service. However, resource management in a decentralized infrast...