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CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 8 months ago
An approach for the state estimation of Takagi-Sugeno models and application to sensor fault diagnosis
— In this paper, a new method to design an observer for nonlinear systems described by Takagi-Sugeno (TS) model, with unmeasurable premise variables, is proposed. Most of existin...
Dalil Ichalal, Benoît Marx, José Rago...
PAMI
2008
182views more  PAMI 2008»
15 years 4 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
ICPR
2008
IEEE
16 years 5 months ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
ISMIR
2005
Springer
142views Music» more  ISMIR 2005»
15 years 10 months ago
A Probabilistic Model for Chord Progressions
Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in...
Jean-François Paiement, Douglas Eck, Samy B...
CDC
2009
IEEE
148views Control Systems» more  CDC 2009»
15 years 9 months ago
State estimation of the three-tank system using a multiple model
— This paper addresses the exact transformation of nonlinear systems into a multiple model form with unmeasurable premise variables. The multiple model structure serves to treat ...
Anca Maria Nagy, Benoît Marx, Gilles Mourot,...