Non-negative Matrix Factorization (NMF, [5]) and Probabilistic Latent Semantic Analysis (PLSA, [4]) have been successfully applied to a number of text analysis tasks such as docum...
We present a static analysis by Abstract Interpretation to check for run-time errors in parallel C programs. Following our work on Astr´ee, we focus on embedded critical programs ...
We present a modular static analysis which identifies structural (shape) invariants for a subset of heap-manipulating programs. The subset is defined by means of a non-standard ...
This work is a contribution to prioritized reasoning in logic programming in the presence of preference relations involving atoms. The technique, providing a new interpretation fo...
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...