— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...
Abstract. Finite model search for first-order logic theories is complementary to theorem proving. Systems like Falcon, SEM and FMSET use the known LNH (Least Number Heuristic) heur...
Abstract. This paper presents a robust method to correct for intensity differences across a series of aligned stained histological slices. The method is made up of two steps. First...
Abstract. In this paper we show how to compress efficiently the statespace of a concurrent system (here applied to a simple shared memory model, but this is no way limited to that ...