92 search results - page 1 / 19 » Feature significance for multivariate kernel density estimat... |
CSDA
2008
13 years 4 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 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...
ICCV
2003
IEEE
14 years 6 months 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
13 years 11 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 4 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 ...