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TIP
2010
127views more  TIP 2010»
15 years 5 months ago
Bayesian Compressive Sensing Using Laplace Priors
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
IPPS
2000
IEEE
15 years 11 months ago
Design and Evaluation of I/O Strategies for Parallel Pipelined STAP Applications
This paper presents experimental results for a parallel pipeline STAP system with I/O task implementation using the parallel file systems on the Intel Paragon and the IBM SP. In ...
Wei-keng Liao, Alok N. Choudhary, Donald Weiner, P...
SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
15 years 8 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
MICCAI
2004
Springer
16 years 8 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...
CVPR
2010
IEEE
16 years 3 months ago
Non-uniform Deblurring for Shaken Images
Blur from camera shake is mostly due to the 3D rotation of the camera, resulting in a blur kernel that can be significantly non-uniform across the image. However, most current de...
Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean ...
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