In this article an autonomous visual perception framework for humanoids is presented. This model-based framework exploits the available knowledge and context acquired during global...
David Israel Gonzalez-Aguirre, S. Wieland, Tamim A...
This paper proposes to transform data scanned randomly in a well-defined space (e.g, Euclidean) along a hierarchical irregular pyramidal structure in an attempt reduce search time...
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Query optimization in RDF Stores is a challenging problem as SPARQL queries typically contain many more joins than equivalent relational plans, and hence lead to a large join orde...
Many location-based services require rich and expressive query language support for filtering large amounts of information. In prominent location-based services thousands of conti...