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» Dense disparity estimation from linear measurements
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97
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ISBI
2009
IEEE
15 years 4 months ago
A Shape-Navigated Image Deformation Model for 4D Lung Respiratory Motion Estimation
Intensity modulated radiation therapy (IMRT) for cancers in the lung remains challenging due to the complicated respiratory dynamics. We propose a shape-navigated dense image defo...
Xiaoxiao Liu, Rohit R. Saboo, Stephen M. Pizer, Gi...
CORR
2010
Springer
166views Education» more  CORR 2010»
14 years 9 months ago
The dynamics of message passing on dense graphs, with applications to compressed sensing
`Approximate message passing' algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive num...
Mohsen Bayati, Andrea Montanari
62
Voted
CSDA
2007
92views more  CSDA 2007»
14 years 9 months ago
On the estimation of the linear relation when the error variances are known
The problem of consistent estimation in measurement error models in a linear relation with not necessarily normally distributed measurement errors is considered. Three possible es...
H. Schneeweiss, H. Shalabh
CSDA
2007
100views more  CSDA 2007»
14 years 9 months ago
Estimation in a linear multivariate measurement error model with a change point in the data
A linear multivariate measurement error model AX = B is considered. The errors in A B are row-wise finite dependent, and within each row, the errors may be correlated. Some of th...
Alexander Kukush, Ivan Markovsky, Sabine Van Huffe...
CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
14 years 4 months ago
On the observability of linear systems from random, compressive measurements
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...
Michael B. Wakin, Borhan Molazem Sanandaji, Tyrone...