23 search results - page 2 / 5 » On Separation of Signal Sources Using Kernel Estimates of Pr... |
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
In this article, a novel method to accurately estimate 3D surface of objects of interest is proposed. Each ray projected from 2D image plane to 3D space is modelled with the Gauss...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
We propose a model for the density of cross-spectral coefficients using Normal Variance Mean Mixtures. We show that this model density generalizes the corresponding marginal dens...
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We propose a new method for the blind separation of multiple binary signals from a single general nonlinear mixture. In addition to the usual independence assumption on the input ...
EGITALY
2006
13 years 5 months ago
2006
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...