10 search results - page 1 / 2 » Local bandwidth selectors for deconvolution kernel density e... |
SAC
2012
ACM
12 years 13 days ago
2012
ACM
We consider kernel density estimation when the observations are contaminated by measurement errors. It is well known that the success of kernel estimators depends heavily on the c...
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...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
INFORMATICALT
1998
13 years 4 months ago
1998
This article gives ideas for developing statistics software which can work without user intervention. Some popular methods of bandwidth selection for kernel density estimation (the...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...