354 search results - page 17 / 71 » Estimating random variables from random sparse observations |
ECCV
1994
Springer
13 years 11 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...
ICCV
2007
IEEE
14 years 9 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
13 years 7 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...
TARK
2009
Springer
14 years 2 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 ...
CORR
2011
Springer
13 years 2 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 ...