Feature Extraction from Spectral Data Using the Bayesian Evidence Framework

Abstract:

Article Preview

The optimal selection of discriminatory features from large datasets remains a pressing problem in damage identification. In this paper, a Bayesian approach to classification and feature selection is introduced and applied to a challenging experimental problem.

Info:

Periodical:

Key Engineering Materials (Volumes 413-414)

Edited by:

F. Chu, H. Ouyang, V. Silberschmidt, L. Garibaldi, C.Surace, W.M. Ostachowicz and D. Jiang

Pages:

151-158

DOI:

10.4028/www.scientific.net/KEM.413-414.151

Citation:

J. J. Hensman and R. J. Barthorpe, "Feature Extraction from Spectral Data Using the Bayesian Evidence Framework", Key Engineering Materials, Vols. 413-414, pp. 151-158, 2009

Online since:

June 2009

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Price:

$35.00

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