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» An Overview Of Inverse Problem Regularization Using Sparsity
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ESANN
2004
14 years 11 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
15 years 10 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
15 years 11 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
77
Voted
ICPR
2000
IEEE
15 years 10 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
79
Voted
IPMI
2005
Springer
15 years 10 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...