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» Parametric structure-preserving model order reduction
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ICRA
2002
IEEE
115views Robotics» more  ICRA 2002»
13 years 10 months ago
Parametric Primitives for Motor Representation and Control
The use of motor primitives for the generation of complex movements is a relatively new and interesting idea for dimensionality reduction in robot control. We propose a framework ...
R. Amit, Maja J. Mataric
CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
13 years 10 months ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen
AUTOMATICA
2005
137views more  AUTOMATICA 2005»
13 years 5 months ago
Multivariable frequency-response curve fitting with application to modal parameter estimation
This paper presents a computational approach for the frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization...
P. Verboven, P. Guillaume, B. Cauberghe
AUTOMATICA
2010
127views more  AUTOMATICA 2010»
13 years 3 months ago
Partitioning datasets based on equalities among parameters
When a phenomenon is described by a parametric model and multiple datasets are available, a key problem in statistics is to discover which datasets are characterized by the same p...
Riccardo Porreca, Giancarlo Ferrari-Trecate
WEBI
2005
Springer
13 years 11 months ago
Efficient Extraction of Closed Motivic Patterns in Multi-Dimensional Symbolic Representations of Music
In this paper, we present an efficient model for discovering repeated patterns in symbolic representations of music. Combinatorial redundancy inherent to the pattern discovery pa...
Olivier Lartillot