1126 search results - page 9 / 226 » Forest Density Estimation |
NIPS
2007
13 years 11 months ago
2007
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
IJCNN
2007
IEEE
14 years 4 months ago
2007
IEEE
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
ICDCS
2007
IEEE
14 years 4 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...
CSDA
2008
13 years 10 months ago
2008
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
CVPR
2003
IEEE
15 years 2 days ago
2003
IEEE
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...