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117
Voted
CORR
2010
Springer
116views Education» more  CORR 2010»
15 years 3 months ago
Estimation with Random Linear Mixing, Belief Propagation and Compressed Sensing
Abstract--We apply Guo and Wang's relaxed belief propagation (BP) method to the estimation of a random vector from linear measurements followed by a componentwise probabilisti...
Sundeep Rangan
VLSISP
1998
191views more  VLSISP 1998»
15 years 3 months ago
Image Compression Using KLT, Wavelets and an Adaptive Mixture of Principal Components Model
In this paper, we present preliminary results comparing the nature of the errors introduced by the mixture of principal components (MPC) model with a wavelet transform and the Karh...
Nanda Kambhatla, Simon Haykin, Robert D. Dony
140
Voted
ICIP
2010
IEEE
15 years 1 months ago
Compressed sensing of multiview images using disparity compensation
Compressed sensing is applied to multiview image sets and interimage disparity compensation is incorporated into image reconstruction in order to take advantage of the high degree...
Maria Trocan, Thomas Maugey, Eric W. Tramel, James...
143
Voted
MICCAI
2010
Springer
15 years 1 months ago
Efficient MR Image Reconstruction for Compressed MR Imaging
In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm minimizes a linear combination of three terms corresponding to a least square data fitti...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
161
Voted
TSP
2010
14 years 10 months ago
Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
Minhua Chen, Jorge Silva, John William Paisley, Ch...