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ICIP
2009
IEEE
16 years 4 months ago
Image Restoration By Mixture Modelling Of An Overcomplete Linear Representation
We present a new image restoration method based on modelling the coefficients of an overcomplete wavelet response to natural images with a mixture of two Gaussian distributions, h...
129
Voted
ICML
2007
IEEE
16 years 4 months ago
Robust multi-task learning with t-processes
Most current multi-task learning frameworks ignore the robustness issue, which means that the presence of "outlier" tasks may greatly reduce overall system performance. ...
Shipeng Yu, Volker Tresp, Kai Yu
116
Voted
ISBI
2008
IEEE
16 years 4 months ago
Level set segmentation of dermoscopy images
This paper presents a method for the segmentation of skin lesions in dermoscopy images. The proposed technique uses region based level sets and adopts a mixture of Gaussian densit...
Margarida Silveira, Jorge S. Marques
DCC
2003
IEEE
16 years 3 months ago
Design of Optimal Quantizers for Distributed Source Coding
We address the problem of designing optimal quantizers for distributed source coding. The generality of our formulation includes both the symmetric and asymmetric scenarios, toget...
David Rebollo-Monedero, Rui Zhang, Bernd Girod
110
Voted
ECIR
2009
Springer
16 years 24 days ago
Bayesian Mixture Hierarchies for Automatic Image Annotation
Previous research on automatic image annotation has shown that accurate estimates of the class conditional densities in generative models have a positive effect in annotation perf...
Vassilios Stathopoulos, Joemon M. Jose