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» An Overview Of Inverse Problem Regularization Using Sparsity
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ESANN
2004
13 years 8 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
ICML
2006
IEEE
14 years 7 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ECCV
2002
Springer
14 years 8 months ago
Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization
Abstract. The propose of this paper is to introduce a new regularization formulation for inverse problems in computer vision and image processing that allows one to reconstruct sec...
José L. Marroquín, Mariano Rivera
ICPR
2000
IEEE
14 years 7 months ago
Multiple View Vision
The goal of this paper is to give a short historical overview of multiple view vision and in particular the estimation of both camera geometry and scene models using only images a...
Kalle Åström
IPMI
2005
Springer
14 years 7 months ago
Inverse Consistent Mapping in 3D Deformable Image Registration: Its Construction and Statistical Properties
Abstract. This paper presents a new approach to inverse consistent image registration. A uni-directional algorithm is developed using symmetric cost functionals and regularizers. I...
Alex D. Leow, Sung-Cheng Huang, Alex Geng, James T...