Approximation of feature vectors in nonnegative matrix factorization with Gaussian radial basis functions

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

Volumn 7663 LNCS, Issue PART 1, 2012, Pages 616-623

  Zdunek, Rafał ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Feature Extraction; Gaussian Radial Basis Functions; Nonnegative Matrix Factorization; Quadratic Programming; Raman spectra

Indexed keywords

BASIS FUNCTIONS; DATA SETS; FEATURE EXTRACTION TECHNIQUES; FEATURE VECTORS; GAUSSIAN RADIAL BASIS FUNCTIONS; HIGH DIMENSIONAL DATA; INEQUALITY CONSTRAINT; LINEAR COMBINATIONS; MULTIVARIATE INTERPOLATION; NONNEGATIVE MATRIX FACTORIZATION; SIGNAL-TO-INTERFERENCE RATIO; SUB-PROBLEMS;

CONSTRAINT THEORY; DATA PROCESSING; FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; QUADRATIC PROGRAMMING; RAMAN SCATTERING;

RADIAL BASIS FUNCTION NETWORKS;

EID: 84869020092     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34475-6_74     Document Type: Conference Paper

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