We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
Abstract. This work addresses the problem of querying moving objects databases. which capture the inherent uncertainty associated with the location of moving point objects. We addr...
Goce Trajcevski, Ouri Wolfson, Fengli Zhang, Sam C...
Self-calibrating designs are gaining momentum in both the computation and communication worlds. Instead of relying on the worst-case characterisation of design parameters, self-ca...
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Interactive network-based navigation over large urban environments raises difficult problems due to the size and complexity of these scenes. In this paper, we present a clientser...