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AMDO
2008
Springer
15 years 4 months ago
A Generative Model for Motion Synthesis and Blending Using Probability Density Estimation
The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
Dumebi Okwechime, Richard Bowden
100
Voted
COLING
1996
15 years 3 months ago
A Computational Model for Generating Referring Expressions in a Multilingual Application Domain
In this paper we analyse the problem of generating referring expressions in a multilingnal generation system that produces instructions on how to fill out pension forms. The model...
Elena Not
108
Voted
CICLING
2010
Springer
15 years 9 months ago
GEMS: Generative Modeling for Evaluation of Summaries
Automated evaluation is crucial in the context of automated text summaries, as is the case with evaluation of any of the language technologies. In this paper we present a Generativ...
Rahul Katragadda
111
Voted
FORTE
2008
15 years 4 months ago
Model Generation for Horn Logic with Stratified Negation
Abstract. Model generation is an important formal technique for finding interesting instances of computationally hard problems. In this paper we study model generation over Horn lo...
Ethan K. Jackson, Wolfram Schulte
AUTOMATICA
2006
66views more  AUTOMATICA 2006»
15 years 2 months ago
Robust residual generation for diagnosis including a reference model for residual behavior
: The main goal when synthesizing robust residual generators, for diagnosis and supervision, is to attenuate influence from model uncertainty on the residual while keeping fault de...
Erik Frisk, Lars Nielsen