354 search results - page 17 / 71 » Estimating random variables from random sparse observations |
117
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ECCV
1994
Springer
15 years 4 months ago
1994
Springer
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
112
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ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
We consider the task of creating a 3-d model of a large novel environment, given only a small number of images of the scene. This is a difficult problem, because if the images are...
PR
2002
14 years 11 months ago
2002
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
111
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TARK
2009
Springer
15 years 6 months ago
2009
Springer
Kolmogorov’s setting for probability theory is given an original generalization to account for probabilities arising from Quantum Mechanics. The sample space has a central role ...
124
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CORR
2011
Springer
14 years 6 months ago
2011
Springer
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...