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APVIS
2007
13 years 9 months ago
GraphScape: integrated multivariate network visualization
In this paper, we introduce a new method, GraphScape, to visualize multivariate networks, i.e., graphs with multivariate data associated with their nodes. GraphScape adopts a land...
Kai Xu 0003, Andrew Cunningham, Seok-Hee Hong, Bru...
CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
14 years 12 days ago
Dirac mixture approximation of multivariate Gaussian densities
— For the optimal approximation of multivariate Gaussian densities by means of Dirac mixtures, i.e., by means of a sum of weighted Dirac distributions on a continuous domain, a n...
Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp
AUTOMATICA
2005
137views more  AUTOMATICA 2005»
13 years 7 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
ISBI
2008
IEEE
14 years 8 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...
ICML
2010
IEEE
13 years 8 months ago
Dynamical Products of Experts for Modeling Financial Time Series
Predicting the "Value at Risk" of a portfolio of stocks is of great significance in quantitative finance. We introduce a new class models, "dynamical products of ex...
Yutian Chen, Max Welling