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JMLR
2007
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13 years 11 months ago
Learnability of Gaussians with Flexible Variances
Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...
Yiming Ying, Ding-Xuan Zhou
CCECE
2006
IEEE
14 years 5 months ago
Regularized Fractal Image Decoding
The goal of this paper is to present a new recipe for the fractal image decoding process. In this paper, we explain how fractal-based methods can be internally combined with regul...
Mehran Ebrahimi, Edward R. Vrscay
ECCV
2002
Springer
15 years 1 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