A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
This paper presents several novel theoretical results regarding the recovery of a low-rank matrix from just a few measurements consisting of linear combinations of the matrix entr...
We propose a novel linearly augmented tree method for efficient scale and rotation invariant object matching. The proposed method enforces pairwise matching consistency defined ...
Aspect oriented programming has been proposed as a way to improve modularity of software systems by allowing encapsulation of cross-cutting concerns. To do so, aspects specify whe...
The past decades have seen huge improvements in computer systems but these have proved difficult to translate into comparable improvements in the usability and social integration)...