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
Link To Document :
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