We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Software distributed shared memory (DSM) systems have successfully provided the illusion of shared memory on distributed memory machines. However, most software DSM systems use th...
Sandhya Dwarkadas, Robert Stets, Nikos Hardavellas...
: In scalable parallel machines, processors can make local memory accesses much faster than they can make remote memory accesses. In addition, when a number of remote accesses must...
Objectives: To discuss the relationships between ontologies, terminologies and language in the context of Natural Language Processing (NLP) applications in order to show the negat...
Robert H. Baud, Werner Ceusters, Patrick Ruch, Ann...
This paper focuses on the production of authoring tools that teachers may use to prototype interactive geographical web applications. We present some computational models and a too...
The Nhan Luong, Thierry Nodenot, Philippe Lopist&e...