94 search results - page 3 / 19 » Maximum kernel density estimator for robust fitting |
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
An effective object recognition scheme is to represent and match images on the basis of histograms derived from photometric color invariants. A drawback, however, is that certain c...
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
ICPR
2000
IEEE
14 years 7 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 ...
ACCV
2009
Springer
13 years 7 months ago
2009
Springer
We propose a new robust estimator for parameter estimation in highly noisy data with multiple structures and without prior information on the noise scale of inliers. This is a diag...
ICDCS
2007
IEEE
14 years 5 days ago
2007
IEEE
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...