427 search results - page 11 / 86 » Density Estimation: Nonparametric Techniques |
ICASSP
2011
IEEE
13 years 22 days ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
IJCAI
2007
13 years 10 months ago
2007
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
CDC
2009
IEEE
14 years 1 months ago
2009
IEEE
In this paper we analyze the problem of estimating a function from different noisy data sets collected by spatially distributed sensors and subject to unknown temporal shifts. We p...
ISLPED
1996
ACM
14 years 1 months ago
1996
ACM
In this paper, we present a new statistical technique for estimation of average power dissipation in digital circuits. Present statistical techniques estimate the average power ba...