For meaning representations in NLP, we focus our attention on thematic aspects and conceptual vectors. The learning strategy of conceptual vectors relies on a morphosyntaxic analy...
Didier Schwab, Mathieu Lafourcade, Violaine Prince
Analyzing interactions among peers that interact via messages is a crucial problem due to increasingly distributed nature of current software systems, especially the ones built us...
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Applications of complex variables and related manifolds appear throughout mathematics and science. Here we review a family of basic methods for applying visualization concepts to ...
Abstract—In this paper, three approaches to utilizing objectlevel spatial contextual information for semantic image analysis are presented and comparatively evaluated. Contextual...
Georgios Th. Papadopoulos, Carsten Saathoff, Hugo ...