53 search results - page 2 / 11 » Covariance Matrix Estimation With Heterogeneous Samples |
SSPR
2004
Springer
13 years 10 months ago
2004
Springer
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
AVBPA
2001
Springer
13 years 9 months ago
2001
Springer
In several pattern recognition problems, particularly in image recognition ones, there are often a large number of features available, but the number of training samples for each p...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
JCB
2007
13 years 5 months ago
2007
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
We consider bearing estimation of multiple narrow-band plane waves impinging on an array of sensors. For this problem, bearing estimation algorithms such as minimum variance disto...