68 search results - page 2 / 14 » A Contribution to the Schlesinger's Algorithm Separating Mix... |
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
JMLR
2007
13 years 7 months ago
2007
We show that, given data from a mixture of k well-separated spherical Gaussians in Rd, a simple two-round variant of EM will, with high probability, learn the parameters of the Ga...
IJON
1998
13 years 7 months ago
1998
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
ISCAS
2006
IEEE
2006
IEEE
Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures
14 years 1 months ago
— This paper presents an eigenvector algorithm (EVA) derived from a criterion using reference signals, in which the EVA is applied to the blind source separation (BSS) of instant...