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ICCS
2003
Springer
13 years 10 months ago
A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets
Geophysics research has been faced with a growing need for automated techniques with which to process large quantities of data. A successful tool must meet a number of requirements...
Robert A. Granat
BMCBI
2005
141views more  BMCBI 2005»
13 years 4 months ago
A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models
Background: G- Protein coupled receptors (GPCRs) comprise the largest group of eukaryotic cell surface receptors with great pharmacological interest. A broad range of native ligan...
Nikolaos G. Sgourakis, Pantelis G. Bagos, Panagiot...
GEOINFO
2004
13 years 6 months ago
Uncertainty in Digital Elevation Data Used For Geophysical Flow Simulation
: Elevation information plays a crucial role in simulations of geophysical flows providing the slope and curvature information required to solve a series of differential equations....
Laércio Massaru Namikawa, Chris S. Renschle...
ICASSP
2010
IEEE
13 years 5 months ago
Shape matching based on graph alignment using hidden Markov models
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
Xiaoning Qian, Byung-Jun Yoon
ISMB
1993
13 years 6 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...