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» Joint segmentation of multivariate Gaussian processes using ...
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73
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CSDA
2011
14 years 7 months ago
Joint segmentation of multivariate Gaussian processes using mixed linear models
F. Picard, E. Lebarbier, E. Budinskà, S. Ro...
CMPB
2002
90views more  CMPB 2002»
15 years 13 days ago
Bivariate linear mixed models using SAS proc MIXED
Bivariate linear mixed models are useful when analyzing longitudinal data of two associated markers. In this paper, we present a bivariate linear mixed model including random effe...
Rodolphe Thiébaut, Hélène Jac...
119
Voted
ICML
2007
IEEE
16 years 1 months ago
Modeling changing dependency structure in multivariate time series
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Xiang Xuan, Kevin P. Murphy
ICIP
2005
IEEE
16 years 2 months ago
Unsupervised multiband image segmentation using hidden Markov quadtree and copulas
This paper deals with Hidden Markov Quadtree model for multiband image segmentation. This task, requiring multivariate probability density computations for the data likelihood ter...
Farid Flitti, Christophe Collet, Annabele Joannic-...
136
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ICASSP
2011
IEEE
14 years 4 months ago
Multivariate texture retrieval using the SIRV representation and the geodesic distance
This paper presents a new wavelet based retrieval approach based on Spherically Invariant Random Vector (SIRV) modeling of wavelet subbands. Under this multivariate model, wavelet...
Lionel Bombrun, Noureddine Lasmar, Yannick Berthou...