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» Super-Resolution with Adaptive Regularization
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GMP
2000
IEEE
148views Solid Modeling» more  GMP 2000»
14 years 2 months ago
Polyhedral Surface Smoothing with Simultaneous Mesh Regularization
A computer graphics object reconstructed from real-world data often contains undesirable noise and small-scale oscillations. An important problem is how to remove the noise and os...
Yutaka Ohtake, Alexander G. Belyaev, Ilia A. Bogae...
COLT
2006
Springer
14 years 1 months ago
Optimal Oracle Inequality for Aggregation of Classifiers Under Low Noise Condition
We consider the problem of optimality, in a minimax sense, and adaptivity to the margin and to regularity in binary classification. We prove an oracle inequality, under the margin ...
Guillaume Lecué
ICIP
2001
IEEE
14 years 11 months ago
Segmentation-based spatially adaptive motion blur removal and its application to surveillance systems
Various image restoration methods have been studied for removing space-variant motion blur such as iterative and POCS method. However, their computational complexity of the method...
SangKyu Kang, Jihong Min, Joon Ki Paik
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 9 months ago
Adaptive Bound Optimization for Online Convex Optimization
We introduce a new online convex optimization algorithm that adaptively chooses its regularization function based on the loss functions observed so far. This is in contrast to pre...
H. Brendan McMahan, Matthew J. Streeter
ICPR
2008
IEEE
14 years 10 months ago
Impulse noise removal by spectral clustering and regularization on graphs
In this paper we present a method for impulse noise removal that makes use of spectral clustering and graph regularization. The image is modeled as a graph and local spectral anal...
Olivier Lezoray, Vinh-Thong Ta, Abderrahim Elmoata...