427 search results - page 5 / 86 » Density Estimation: Nonparametric Techniques |
ICDCS
2007
IEEE
14 years 3 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...
CVPR
2003
IEEE
14 years 11 months 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...
CIMAGING
2009
13 years 10 months ago
2009
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
BCS
2008
13 years 10 months ago
2008
In this work, a new algorithm is proposed for fast estimation of nonparametric multivariate kernel density, based on principal direction divisive partitioning (PDDP) of the data s...
ICASSP
2011
IEEE
13 years 21 days ago
2011
IEEE
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...