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ICASSP
2010
IEEE
13 years 9 months ago
A minimax approach to Bayesian estimation with partial knowledge of the observation model
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
Tomer Michaeli, Yonina C. Eldar
TMI
1998
155views more  TMI 1998»
13 years 8 months ago
Spatio-temporal fMRI Analysis using Markov Random Fields
Abstract—Functional magnetic resonance images (fMRI’s) provide high-resolution datasets which allow researchers to obtain accurate delineation and sensitive detection of activa...
Xavier Descombes, Frithjof Kruggel, D. Yves von Cr...
ICCV
2009
IEEE
13 years 6 months ago
Improving accuracy of geometric parameter estimation using projected score method
A fundamental problem in computer vision (CV) is the estimation of geometric parameters from multiple observations obtained from images; examples of such problems range from ellip...
Takayuki Okatani, Koichiro Deguchi
CVPR
2011
IEEE
13 years 27 days ago
Space-Time Super-Resolution from a Single Video
Spatial Super Resolution (SR) aims to recover fine image details, smaller than a pixel size. Temporal SR aims to recover rapid dynamic events that occur faster than the video fra...
Oded Shahar, Alon Faktor, Michal Irani
JCPHY
2011
79views more  JCPHY 2011»
13 years 22 hour ago
Stochastic Eulerian Lagrangian methods for fluid-structure interactions with thermal fluctuations
A computational approach is introduced for the study of the rheological properties of complex fluids and soft materials. The approach allows for a consistent treatment of microstr...
Paul J. Atzberger