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SIAMSC
2008
97views more  SIAMSC 2008»
15 years 5 months ago
Improvement of Space-Invariant Image Deblurring by Preconditioned Landweber Iterations
The Landweber method is a simple and flexible iterative regularization algorithm, whose projected variant provides nonnegative image reconstructions. Since the method is usually v...
Paola Brianzi, Fabio Di Benedetto, Claudio Estatic...
COLT
2006
Springer
15 years 9 months ago
Uniform Convergence of Adaptive Graph-Based Regularization
Abstract. The regularization functional induced by the graph Laplacian of a random neighborhood graph based on the data is adaptive in two ways. First it adapts to an underlying ma...
Matthias Hein
MLG
2007
Springer
15 years 11 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich
TNN
2008
88views more  TNN 2008»
15 years 5 months ago
A Fault-Tolerant Regularizer for RBF Networks
In classical training methods for node open fault, we need to consider many potential faulty networks. When the multinode fault situation is considered, the space of potential faul...
Chi-Sing Leung, J. P. F. Sum
CVPR
2012
IEEE
13 years 8 months ago
2.5D building modeling by discovering global regularities
We introduce global regularities in the 2.5D building modeling problem, to reflect the orientation and placement similarities between planar elements in building structures. Give...
Qian-Yi Zhou, Ulrich Neumann