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» Bayesian Estimation of Layers from Multiple Images
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UAI
2003
13 years 10 months ago
Decentralized Sensor Fusion with Distributed Particle Filters
This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized arch...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
ICASSP
2007
IEEE
14 years 3 months ago
Spatial Mixture Modelling for the Joint Detection-Estimation of Brain Activity in fMRI
— Within-subject analysis in event-related functional Magnetic Resonance Imaging (fMRI) first relies on (i) a detection step to localize which parts of the brain are activated b...
Thomas Vincent, Philippe Ciuciu, Jérô...
GRC
2010
IEEE
13 years 10 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
CVPR
2012
IEEE
11 years 11 months ago
From pixels to physics: Probabilistic color de-rendering
Consumer digital cameras use tone-mapping to produce compact, narrow-gamut images that are nonetheless visually pleasing. In doing so, they discard or distort substantial radiomet...
Ying Xiong, Kate Saenko, Trevor Darrell, Todd Zick...
ICPR
2006
IEEE
14 years 10 months ago
Using Specularities to Recover Multiple Light Sources in the Presence of Texture
Recovering multiple point light sources from a sparse set of photographs in which objects of unknown texture can move is challenging. This is because both diffuse and specular ref...
Pascal Lagger, Pascal Fua