• 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