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» The Gaussian Process Density Sampler
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ICASSP
2011
IEEE
12 years 9 months ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
TSP
2010
13 years 14 days ago
Detection of spatially correlated Gaussian time series
This work addresses the problem of deciding whether a set of realizations of a vector-valued time series with unknown temporal correlation are spatially correlated or not. For wide...
David Ramírez, Javier Vía, Ignacio S...
ICIP
2001
IEEE
14 years 7 months ago
Multiresolution Gaussian mixture models for visual motion estimation
This paper introduces a new generalisation of scale-space and pyramids, which combines statistical modelling with a spatial representation. The representation uses the familiar co...
Roland Wilson, Andrew Calway
TIT
2002
69views more  TIT 2002»
13 years 5 months ago
On the second derivative of a Gaussian process envelope
In this paper we explore some dynamic characteristics of the envelope of a bandpass Gaussian process, which are of interest in wireless fading channels. Specifically, we show that ...
Ali Abdi
CVPR
2006
IEEE
14 years 7 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua