DocumentCode
2414883
Title
Non-Negative Matrix Factorization with Orthogonality Constraints for Chemical Agent Detection in Raman Spectra
Author
Li, Hualiang ; Adali, Tulay ; Wang, Wei ; Emge, Darren
Author_Institution
Dept. of Comput. Sci. & Electr. Eng., Maryland Univ. Baltimore, MD
fYear
2005
fDate
28-28 Sept. 2005
Firstpage
253
Lastpage
258
Abstract
We introduce non-negative matrix factorization with orthogonality constraints (NMF-OC) for detection of a target spectrum in a given set of Raman spectra data. An orthogonality measure is defined and two different orthogonality constraints are imposed on the standard NMF to incorporate prior information into the estimation and hence to facilitate the subsequent detection procedure. Experimental results are presented to compare NMF-OC with the basic NMF and ICA methods in detection, and to demonstrate its effectiveness in the chemical agent detection problem
Keywords
Raman spectra; matrix decomposition; spectral analysis; spectroscopy computing; Raman spectra; chemical agent detection; nonnegative matrix factorization; orthogonality constraint; target spectrum detection; Chemical analysis; Chemical compounds; Chemical engineering; Data engineering; Independent component analysis; Libraries; Light scattering; Measurement standards; Raman scattering; Spectroscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning for Signal Processing, 2005 IEEE Workshop on
Conference_Location
Mystic, CT
Print_ISBN
0-7803-9517-4
Type
conf
DOI
10.1109/MLSP.2005.1532909
Filename
1532909
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