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A method of hidden Markov model optimization for use with geophysical data setsGeophysics 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: it should be consistent, require minimal parameter tuning, and produce scientifically meaningful results in reasonable time. We introduce a hidden Markov model (HMM)-based method for analysis of geophysical data sets that attempts to address these issues.
Document ID
20060028820
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Granat, R. A.
Date Acquired
August 23, 2013
Publication Date
June 1, 2003
Subject Category
Geophysics
Distribution Limits
Public
Copyright
Other
Keywords
Markov model optimization geophysical data sets

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