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ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
13 years 6 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
ICASSP
2009
IEEE
13 years 6 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...
ICDM
2009
IEEE
207views Data Mining» more  ICDM 2009»
13 years 6 months ago
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
TIP
2011
170views more  TIP 2011»
13 years 3 months ago
Image Denoising in Mixed Poisson-Gaussian Noise
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...
Florian Luisier, Thierry Blu, Michael Unser
TIT
2010
112views Education» more  TIT 2010»
13 years 3 months ago
Asymmetric multilevel diversity coding and asymmetric Gaussian multiple descriptions
We consider the asymmetric multilevel diversity (A-MLD) coding problem, where a set of 2 K 1 information sources, ordered in a decreasing level of importance, is encoded into K me...
Soheil Mohajer, Chao Tian, Suhas N. Diggavi