2829 search results - page 11 / 566 » Regularization Methods for Additive Models |
ECCV
2004
Springer
16 years 1 months ago
2004
Springer
We propose a solution to the problem of inferring the depth map, radiance and motion of a scene from a collection of motion-blurred and defocused images. We model motion-blur and d...
117
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JMLR
2012
13 years 2 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
NC
1998
15 years 1 months ago
1998
Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
109
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TMI
2010
14 years 6 months ago
2010
Abstract--Reconstruction algorithms for fluorescence tomography have to address two crucial issues : (i) the ill-posedness of the reconstruction problem, (ii) the large scale of nu...
ICIP
2009
IEEE
16 years 21 days ago
2009
IEEE
In this paper, an edge-preserving nonlinear iterative regularization-based image resampling method for a single noise-free image is proposed. Several aspects of the resampling alg...