Regularized active set least squares algorithm for nonnegative matrix factorization in application to Raman spectra separation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6692 LNCS, Issue PART 2, 2011, Pages 492-499

  Zdunek, Rafal ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE SETS; ALTERNATING LEAST SQUARES; ITERATIVE UPDATE; LEAST SQUARES ALGORITHM; LOCAL MINIMUMS; NONNEGATIVE MATRIX FACTORIZATION; NUMERICAL OPTIMIZATIONS; PEAK SIGNAL-TO-NOISE RATIO; PROJECTED GRADIENT; RAMAN SPECTRA; REGULARIZATION PARAMETERS; SPECTRAL DATA ANALYSIS; SPECTROSCOPY DATA; TIKHONOV; ACTIVE SET METHODS; NUMERICAL OPTIMIZATION ALGORITHMS; PEAK SIGNAL TO NOISE RATIO;

ALGORITHMS; DATA REDUCTION; FACTORIZATION; NEURAL NETWORKS; NUMERICAL METHODS; RAMAN SPECTROSCOPY; SIGNAL TO NOISE RATIO; COST FUNCTIONS; ITERATIVE METHODS; OPTIMIZATION;

MATRIX ALGEBRA;

EID: 79957947374     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21498-1_62     Document Type: Conference Paper

References (14)

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