94 search results - page 8 / 19 » Maximum kernel density estimator for robust fitting |
VIS
2004
IEEE
14 years 8 months ago
2004
IEEE
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of healthy and diseased blood vessels. The objective of this research is to est...
NIPS
2007
13 years 9 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
DSP
2006
13 years 7 months ago
2006
Cross correlation function (CCF) of signals is an important tool of multi-sensors signal processing. Parabola functions are commonly used as parametric models of the CCF in time d...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
The robust regression techniques in the RANSAC family are popular today in computer vision, but their performance depends on a user supplied threshold. We eliminate this drawback ...
NIPS
2004
13 years 8 months ago
2004
The problem of detecting "atypical objects" or "outliers" is one of the classical topics in (robust) statistics. Recently, it has been proposed to address this...