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ICASSP
2010
IEEE
15 years 7 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
AUTOMATICA
2006
150views more  AUTOMATICA 2006»
15 years 7 months ago
Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
Chong Jin Ong, Dan Sui, Elmer G. Gilbert
SIGIR
2008
ACM
15 years 6 months ago
Measuring concept relatedness using language models
Over the years, the notion of concept relatedness has attracted considerable attention. A variety of approaches, based on ontology structure, information content, association, or ...
Dolf Trieschnigg, Edgar Meij, Maarten de Rijke, We...
AC
2005
Springer
15 years 6 months ago
Software model checking with SPIN
The aim of this chapter is to give an overview of the theoretical foundation and the practical application of logic model checking techniques for the verification of multi-threade...
Gerard J. Holzmann
177
Voted
CAISE
2006
Springer
15 years 10 months ago
A Method for Functional Alignment Verification in Hierarchical Enterprise Models
Enterprise modeling involves multiple domains of expertise: requirements engineering, business process modeling, IT development etc. Our experience has shown that hierarchical ente...
Irina Rychkova, Alain Wegmann