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EMMCVPR
2003
Springer
14 years 28 days ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero
BMCBI
2005
118views more  BMCBI 2005»
13 years 7 months ago
Vestige: Maximum likelihood phylogenetic footprinting
Background: Phylogenetic footprinting is the identification of functional regions of DNA by their evolutionary conservation. This is achieved by comparing orthologous regions from...
Matthew J. Wakefield, Peter Maxwell, Gavin A. Hutt...
ICPR
2000
IEEE
14 years 8 months ago
A Markov Random Field Model for Automatic Speech Recognition
Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...
Gérard Chollet, Guillaume Gravier, Marc Sig...
BMCBI
2006
137views more  BMCBI 2006»
13 years 7 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
ICC
1997
IEEE
108views Communications» more  ICC 1997»
13 years 11 months ago
MLSE Receiver for the Dispersive Rayleigh Fading Channel
: 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...
Wing Seng Leon, Desmond P. Taylor