374 search results - page 2 / 75 » Robust kernel density estimation |
ICDCS
2007
IEEE
13 years 11 months 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...
GECCO
2005
Springer
13 years 10 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...
MLDM
2007
Springer
13 years 11 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...
CVPR
2005
IEEE
14 years 7 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...
CSDA
2008
13 years 5 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...