A histogram-based method for the interpretation of three-dimensional (3D) point clouds is introduced, where point clouds represent the surface of a scene of multiple objects and ba...
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Modern database systems increasingly make use of networked storage. This storage can be in the form of SAN's or in the form of shared-nothing nodes in a cluster. One type of a...
We present a practical and scalable method for flow- and contextsensitive (FSCS) pointer analysis for C programs. Our method analyzes the pointers in a program level by level in ...