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NIPS
2008
15 years 4 months ago
Estimating vector fields using sparse basis field expansions
We introduce a novel framework for estimating vector fields using sparse basis field expansions (S-FLEX). The notion of basis fields, which are an extension of scalar basis functi...
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Kla...
SIAMAM
2008
80views more  SIAMAM 2008»
15 years 3 months ago
The Factorization Method for Electrical Impedance Tomography in the Half-Space
We consider the inverse problem of electrical impedance tomography in a conducting half space, given electrostatic measurements on its boundary, i.e., a hyperplane. We first provid...
Martin Hanke, Birgit Schappel
PRL
2000
182views more  PRL 2000»
15 years 3 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
ECCV
2008
Springer
16 years 5 months ago
A Lattice-Preserving Multigrid Method for Solving the Inhomogeneous Poisson Equations Used in Image Analysis
Abstract. The inhomogeneous Poisson (Laplace) equation with internal Dirichlet boundary conditions has recently appeared in several applications ranging from image segmentation [1,...
Leo Grady
150
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TVCG
2008
167views more  TVCG 2008»
15 years 1 months ago
Optimal Surface Parameterization Using Inverse Curvature Map
Mesh parameterization is a fundamental technique in computer graphics. The major goals during mesh parameterization are to minimize both the angle distortion and the area distortio...
Yong-Liang Yang, Junho Kim, Feng Luo 0002, Shi-Min...