94 search results - page 4 / 19 » Maximum kernel density estimator for robust fitting |
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
ICARCV
2002
IEEE
14 years 12 days ago
2002
IEEE
In computer vision tasks, it frequently happens that gross noise occupies the absolute majority of the data. Most robust estimators can tolerate no more than 50% gross errors. In ...
ICANN
2009
Springer
14 years 1 days ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
EJASP
2010
13 years 2 months ago
2010
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...