Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in microbiology

Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011

Volumn , Issue , 2011, Pages 44-49

  Schleif, Frank Michael ^a   Simmuteit, Stephan ^a   Villmann, Thomas ^b  

^a BIELEFELD UNIVERSITY   (Germany)

^b UNIVERSITY OF APPLIED SCIENCES MITTWEIDA   (Germany)

Author keywords

Evolving tree; Linear mixtures; Mass spectrometry; Self organizing map

Indexed keywords

BASIS FUNCTIONS; COMPOSITE PATTERN; EVOLVING TREE; HIERARCHICAL MODEL; HIGH-DIMENSIONAL; LEARNING MODELS; LIFE SCIENCE RESEARCH; LINEAR MIXTURE MODELS; LINEAR MIXTURES; MASS SPECTRA; MASS SPECTROMETRY DATA; MIXED CULTURES; MIXED SAMPLES; NONNEGATIVE COEFFICIENTS; NONNEGATIVE LEAST SQUARES; SELF ORGANIZING; SIMPLE APPROACH; UNMIXING;

ARTIFICIAL INTELLIGENCE; BLIND SOURCE SEPARATION; CONFORMAL MAPPING; HIERARCHICAL SYSTEMS; LEAST SQUARES APPROXIMATIONS; MASS SPECTROMETRY;

MIXTURES;

EID: 79958096350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2316/P.2011.717-011     Document Type: Conference Paper

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