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ICML
2010
IEEE
15 years 7 months ago
Learning the Linear Dynamical System with ASOS
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
James Martens
ICASSP
2010
IEEE
15 years 6 months ago
Distributed reconstruction of time-varying spatial fields based on consensus propagation
This work deals with the distributed measurement and reconstruction of time-varying spatial fields using wireless sensor networks (WSN). We use basis functions to formulate a low...
Valentin Schwarz, Gerald Matz
ICASSP
2010
IEEE
15 years 6 months ago
A new method for kurtosis maximization and source separation
This paper introduces a new method to maximize kurtosisbased contrast functions. Such contrast functions appear in the problem of blind source separation of convolutively mixed so...
Marc Castella, Eric Moreau
158
Voted
ADCM
2007
155views more  ADCM 2007»
15 years 6 months ago
Numerical differentiation by radial basis functions approximation
Based on radial basis functions approximation, we develop in this paper a new computational algorithm for numerical differentiation. Under an a priori and an a posteriori choice r...
T. Wei, Y. C. Hon
AUTOMATICA
2006
81views more  AUTOMATICA 2006»
15 years 6 months ago
A new concept of invariance for saturated systems
: In this paper, a new concept of invariance for saturated linear systems is presented. This new notion of invariance, denoted SNS-invariance, has a number of geometrical propertie...
T. Alamo, A. Cepeda, Daniel Limón, Eduardo ...