This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
In this paper, a new information extraction system by statistical shallow parsing in unconstrained handwritten documents is introduced. Unlike classical approaches found in the li...
Simon Thomas, Clement Chatelain, Laurent Heutte, T...
The paper considers the complexity of verifying that a finite state system satisfies a number of definitions of information flow security. The systems model considered is one i...
—The initial phase in a content distribution (file sharing) scenario is delicate due to the lack of global knowledge and the dynamics of the overlay. An unwise distribution of t...
Flavio Esposito, Ibrahim Matta, Pietro Michiardi, ...
Abstract— In this paper we describe an algorithm to compute cycle constraints that can be used in many graph-based SLAM algorithms; we exemplify it in Hierarchical SLAM. Our algo...