Sciweavers

669 search results - page 103 / 134
» On cooperative image denoising
Sort
View
SIAMIS
2011
13 years 2 months ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang
CVPR
2011
IEEE
12 years 11 months ago
A Non-convex Relaxation Approach to Sparse Dictionary Learning
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
Jianping Shi, Xiang Ren, Jingdong Wang, Guang Dai,...
DATE
2008
IEEE
223views Hardware» more  DATE 2008»
14 years 2 months ago
Cooperative Safety: a Combination of Multiple Technologies
—Governmental Transportation Authorities' interest in Car to Car and Car to Infrastructure has grown dramatically over the last few years in order to increase the road safet...
Raffaele Penazzi, Piergiorgio Capozio, Martin Dunc...
EVOW
2010
Springer
13 years 5 months ago
New Genetic Operators in the Fly Algorithm: Application to Medical PET Image Reconstruction
Abstract. This paper presents an evolutionary approach for image reconstruction in positron emission tomography (PET). Our reconstruction method is based on a cooperative coevoluti...
Franck Patrick Vidal, Jean Louchet, Jean-Marie Roc...
SIAMIS
2011
13 years 2 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch