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» Modelling Smooth Paths Using Gaussian Processes
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ICASSP
2011
IEEE
13 years 2 months ago
Fast single image fog removal using edge-preserving smoothing
Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze and fog. In this paper, we propose a novel fast defoggin...
Jing Yu, Qingmin Liao
ICIP
2005
IEEE
15 years 18 days ago
Level set curve evolution partitioning of polarimetric images
We investigate a method of segmentation of multichannel polarimetric images, such as in laser illuminated or synthetic aperture radar, into a given but arbitrary number of regions...
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj
BMVC
2010
13 years 9 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
ICASSP
2009
IEEE
13 years 8 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...
NIPS
2007
14 years 10 days ago
Multi-task Gaussian Process Prediction
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...