92 search results - page 1 / 19 » Feature significance for multivariate kernel density estimat... |
CSDA
2008
13 years 10 months ago
2008
Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features
CSDA
2006
13 years 11 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...
ICCV
2003
IEEE
15 years 25 days ago
2003
IEEE
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
SMI
2007
IEEE
14 years 5 months ago
2007
IEEE
We address the 3D object retrieval problem using multivariate density-based shape descriptors. Considering the fusion of first and second order local surface information, we cons...
SIAMCO
2008
13 years 10 months ago
2008
We investigate the asymptotic properties of a recursive kernel density estimator associated with the driven noise of a linear regression in adaptive tracking. We provide an almost ...