285 search results - page 8 / 57 » Estimating demosaicing algorithms using image noise variance |
112
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
We address the problem of parameter estimation in presence
of both uncertainty and outlier noise. This is a common
occurrence in computer vision: feature localization
is perform...
113
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NIPS
2008
15 years 1 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
In order to work well, many computer vision algorithms require that their parameters be adjusted according to the image noise level, making it an important quantity to estimate. W...
133
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Hyperspectral imaging analysis aims at the estimation of the number of constituent substances, known as endmembers, their spectral signatures as well as their abundance fractions ...
TCS
2010
14 years 10 months ago
2010
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...