1023 search results - page 28 / 205 » Graph model selection using maximum likelihood |
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
In a reverberant scenario, phase transformed weighted algorithms are more robust than Maximum Likelihood (ML) because of the insufficiency of the data model to incorporate reverb...
TSP
2011
13 years 1 months ago
2011
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
PAMI
2008
13 years 7 months ago
2008
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
NIPS
2007
13 years 9 months ago
2007
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
ICC
1997
IEEE
13 years 11 months ago
1997
IEEE
: A maximum likelihood sequence estimator for the dispersive Rayleigh fading channel is developed. Following [1, 2], the MLSE uses a Kalman based channel estimator to acquire the c...