683 search results - page 3 / 137 » Estimating Vision Parameters given Data with Covariances |
ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...
PR
2002
14 years 9 months ago
2002
Search by Object Model -- finding an object inside a target image -- is a desirable and yet difficult mechanism for querying multimedia data. An added difficulty is that objects c...
BMVC
2002
14 years 12 months ago
2002
In recent work the authors proposed a wide-ranging method for estimating parameters that constrain image feature locations and satisfy a constraint not involving image data. The p...
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NIPS
2008
14 years 11 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
IJCV
2000
14 years 9 months ago
2000
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...