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SCALESPACE
2007
Springer
14 years 3 months ago
Bounds on the Minimizers of (nonconvex) Regularized Least-Squares
This is a theoretical study on the minimizers of cost-functions composed of an ℓ2 data-fidelity term and a possibly nonsmooth or nonconvex regularization term acting on the di...
Mila Nikolova
PCM
2010
Springer
175views Multimedia» more  PCM 2010»
13 years 7 months ago
Non-blind Image Deconvolution with Adaptive Regularization
Ringing and noise amplification are the most dominant artifacts in image deconvolution. These artifacts can be reduced by introducing image prior into the deconvolution process. A ...
Jong-Ho Lee, Yo-Sung Ho
CIKM
2011
Springer
12 years 9 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
ICIP
1997
IEEE
14 years 10 months ago
Complexity-Regularized Image Denoising
We develop a new approach to image denoising based on complexity regularization. This technique presents a flexible alternative to the more conventional l2 , l1 , and Besov regula...
Juan Liu, Pierre Moulin
ICPR
2008
IEEE
14 years 10 months ago
Local Regularized Least-Square Dimensionality Reduction
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
Changshui Zhang, Yangqing Jia