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» Uncertain Linear Constraints
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ICIP
2010
IEEE
15 years 4 months ago
Poisson image reconstruction with total variation regularization
This paper describes an optimization framework for reconstructing nonnegative image intensities from linear projections contaminated with Poisson noise. Such Poisson inverse probl...
Rebecca Willett, Zachary T. Harmany, Roummel F. Ma...
NIPS
1998
15 years 7 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
SIAMMAX
2010
116views more  SIAMMAX 2010»
15 years 23 days ago
Structured Total Maximum Likelihood: An Alternative to Structured Total Least Squares
Abstract. Linear inverse problems with uncertain measurement matrices appear in many different applications. One of the standard techniques for solving such problems is the total l...
Amir Beck, Yonina C. Eldar
ESWS
2011
Springer
14 years 9 months ago
Optimizing Query Shortcuts in RDF Databases
The emergence of the Semantic Web has led to the creation of large semantic knowledge bases, often in the form of RDF databases. Improving the performance of RDF databases necessit...
Vicky Dritsou, Panos Constantopoulos, Antonios Del...
ICIP
2008
IEEE
16 years 7 months ago
Estimating space-variant motion blur without deblurring
Identifying space-variant motion blurs is a very challenging task in blind blur identification research. This paper describes a novel method towards blind identification without d...
Shengyang Dai, Ying Wu