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Symmetric normal mixturesWe consider mixture density estimation under the symmetry constraint x = Az for an orthogonal matrix A. This distributional constraint implies a corresponding constraint on the mixture parameters. Focusing on the gaussian case, we derive an expectation-maximization (EM) algorithm to enforce the constraint and show results for modeling of image feature vectors.
Document ID
20060043925
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Turmon, Michael
Date Acquired
August 23, 2013
Publication Date
October 12, 2004
Publication Information
Publication: Proceedings in Computational Statistics : 16th Symposium, 2004
Distribution Limits
Public
Copyright
Other
Keywords
symmetry constraint
algebraic group
EM algorithm

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