25 search results - page 2 / 5 » Nonparametric prior for adaptive sparsity |
ICCV
2009
IEEE
13 years 3 months ago
2009
IEEE
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
CVPR
2011
IEEE
13 years 13 days ago
2011
IEEE
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
HUMO
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, we suggest to model priors on human motion by means of nonparametric kernel densities. Kernel densities avoid assumptions on the shape of the underlying distribution...
CSDA
2008
13 years 5 months ago
2008
In this paper we present the results of a simulation study to explore the ability of Bayesian parametric and nonparametric models to provide an adequate fit to count data, of the t...
EMNLP
2010
13 years 3 months ago
2010
Strong indications of perspective can often come from collocations of arbitrary length; for example, someone writing get the government out of my X is typically expressing a conse...