TR available on "Mixture model for image understanding and the EM algorithm"

[Shotaro Akaho/ 赤穂昭太郎]

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FTP-filename: /pub/akaho/ETL-TR-95-13E.ps.Z

"Mixture model for image understanding and the EM algorithm"
	Shotaro Akaho

Abstract:
We present a mixture model that can be applied to the recognition of
multiple objects in an image plane.  The model consists of any shape
of submodules.  Each submodule is a probability density function of
data points with scale and shift parameters, and the modules are
combined with weight probabilities.  We present the EM
(Expectation-Maximization) algorithm to estimate those parameters.  We
also modify the algorithm in the case that data points are restricted
in an attention window.
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--
Shotaro AKAHO (akaho at etl.go.jp)
 Electrotechnical Laboratory (ETL)
  Information Science Division, Mathematical Informatics Section
   1-1-4 Umezono, Tsukuba-shi, Ibaraki, 305 Japan