Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Although evolutionary algorithms (EAs) are widely used in practical optimization, their theoretical analysis is still in its infancy. Up to now results on the (expected) runtime ar...
Hand tracking is a challenging problem due to the complexity of searching in a 20+ degrees of freedom (DOF) space for an optimal estimation of hand configuration. This paper repres...
A distributed search algorithm for solving distributed constraint satisfaction problems (DisCSPs) is presented. The proposed algorithm is composed of multiple search processes (SP...
In this paper we present the methods and visualizations used in the MediaMill video search engine. The basis for the engine is a semantic indexing process which derives a lexicon ...
Cees Snoek, Dennis Koelma, Giang P. Nguyen, Marcel...