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
Abstract. We analyze the approximation and smoothness properties of quincunx fundamental refinable functions. In particular, we provide a general way for the construction of quincu...
The GESTALT-System is a stratified architecture for challenging computer vision tasks. This contribution focuses on the 3rd and 4th layer of it – the grouping and decision layer...
Eckart Michaelsen, Uwe Stilla, Uwe Soergel, Leo J....
In this paper, we present efficient HMM-based techniques for estimating missing features. By assuming speech features to be observations of hidden Markov processes, we derive a mi...
During the last 15 years, many mathematical models have been developed in order to solve process operation scheduling problems, using discrete or continuous time representations. ...
Sylvain Mouret, Ignacio E. Grossmann, Pierre Pesti...