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» Transformations of Gaussian Process Priors
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ICIP
2006
IEEE
16 years 7 months ago
Outlier Robust and Edge-Preserving Simultaneous Super-Resolution
In this work, we propose a new robust and edge-preserving superresolution algorithm to simultaneously estimate all frames of a sequence. The new algorithm is based on the regulari...
Joceli Mayer, Marcelo Victor Wüst Zibetti
IJCV
2002
232views more  IJCV 2002»
15 years 5 months ago
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
We present a modification of the Mumford-Shah functional and its cartoon limit which facilitates the incorporation of a statistical prior on the shape of the segmenting contour. By...
Daniel Cremers, Florian Tischhäuser, Joachim ...
JMLR
2010
202views more  JMLR 2010»
15 years 8 days ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
ECCV
2004
Springer
16 years 7 months ago
Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination
We consider the problem of image comparison in order to match smooth surfaces under varying illumination. In a smooth surface nearby surface normals are highly correlated. We model...
Margarita Osadchy, Michael Lindenbaum, David W. Ja...
ICIP
2009
IEEE
16 years 6 months ago
Efficient Poisson Denoising For Photography
In general, image sensor noise is dominated by Poisson statistics, even at high illumination level, yet most standard denoising procedures often assume a simpler additive Gaussian...