94 search results - page 5 / 19 » Maximum kernel density estimator for robust fitting |
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaus...
ADAC
2008
13 years 7 months ago
2008
We consider the problem of multiple fitting of linearly parametrized curves, that arises in many computer vision problems such as road scene analysis. Data extracted from images us...
CSDA
2008
13 years 7 months ago
2008
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
ICCV
2009
IEEE
15 years 13 days ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
CSDA
2008
13 years 7 months ago
2008
Given angular data 1, . . . , n [0, 2) a common objective is to estimate the density. In the case that a kernel estimator is used, bandwidth selection is crucial to the performan...