200 search results - page 2 / 40 » Kernel density estimation in accelerators - Implementation a... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Robust model fitting plays an important role in many computer vision applications. In this paper, we propose a new robust estimator — Maximum Kernel Density Estimator (MKDE) bas...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
TIP
2008
13 years 4 months ago
2008
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
CSDA
2006
13 years 4 months ago
2006
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...