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ICA
2004
Springer
14 years 26 days ago
Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture
Abstract. We proposed recently a new method for separating linearquadratic mixtures of independent real sources, based on parametric identification of a recurrent separating struc...
Shahram Hosseini, Yannick Deville
NIPS
1998
13 years 8 months ago
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
Tony Jebara, Alex Pentland
JCB
2006
107views more  JCB 2006»
13 years 7 months ago
Maximum Likelihood Molecular Clock Comb: Analytic Solutions
Maximum likelihood (ML) is increasingly used as an optimality criterion for selecting evolutionary trees, but finding the global optimum is a hard computational task. Because no g...
Benny Chor, Amit Khetan, Sagi Snir
ICASSP
2011
IEEE
12 years 11 months ago
A combined linear programming-maximum likelihood approach to radial velocity data analysis for extrasolar planet detection
In this paper we introduce a new technique for estimating the parameters of the Keplerian model commonly used in radial velocity data analysis for extrasolar planet detection. The...
Prabhu Babu, Petre Stoica
ICPADS
2006
IEEE
14 years 1 months ago
Acceleration of Maximum Likelihood Estimation for Tomosynthesis Mammography
Maximum likelihood (ML) estimation is used during tomosynthesis mammography reconstruction. A single reconstruction involves the processing of highresolution projection images, wh...
Juemin Zhang, Waleed Meleis, David R. Kaeli, Tao W...