Change point analysis with adaptive mixture models

Author

Priebe, C.E. ; Rogers, G.W. ; Marchette, D.J. ; Solka, J.L.

Author_Institution

Dept. of Syst. Res. & Technol., Naval Surface Warfare Center, Dahlgren, VA, USA

Volume

3

fYear

1994

fDate

8-12 Aug 1994

Firstpage

1795

Abstract

Adaptive mixture models, an extension of finite mixture models in which the number of terms in the probability density estimate is data-driven, are considered for their utility in investigating change point phenomena in high data rate, nonparametric settings. While probability density estimation is only one small part of exploratory data analysis, the ability of adaptive mixture models to develop these estimates nonparametrically can improve the understanding and detection of change points

Keywords

adaptive signal processing; geophysical signal processing; geophysical techniques; image processing; image sequences; remote sensing; adaptive mixture model; change detection; change point analysis; finite mixture model; geophysical measurement technique; image processing; image sequences; land surface; nonparametric settings; probability density estimate; remote sensing; terrain mapping; Data analysis; Distribution functions; Image edge detection; Image processing; Mercury (metals); Patient monitoring; Probability density function; Random variables; Robustness; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Conference_Location

Pasadena, CA

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399568

Filename

399568