We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
Grid computing and cluster computing platforms are becoming the primary development platforms for pervasive computing. The primary problem associated with both computational grids...
Avinash Shankar, Daniel Saffioti, Ian Piper, Ashwi...
Despite the widespread deployment of client/server technology, there seem to be no tools currently available that are adequate for analyzing and tuning the performance of client/s...
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Various common error sources affect the quality of a map, e.g., salt and pepper noise and other forms of noise that are more or less uniformly distributed over the map. But there ...