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CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 4 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
CVPR
2012
IEEE
13 years 1 days ago
On multiple foreground cosegmentation
In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo se...
Gunhee Kim, Eric P. Xing
ECCV
2002
Springer
15 years 11 months ago
What Energy Functions Can Be Minimized via Graph Cuts?
In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs...
Vladimir Kolmogorov, Ramin Zabih
JMIV
2006
72views more  JMIV 2006»
14 years 9 months ago
A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications
We propose a new method for the Lambertian Shape From Shading (SFS) problem based on the notion of Crandall-Lions viscosity solution. This method has the advantage of requiring the...
Emmanuel Prados, Fabio Camilli, Olivier D. Faugera...
PAMI
2008
391views more  PAMI 2008»
14 years 9 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha