Classification of Crystallographic Data Using Canonical Correlation Analysis (Articolo in rivista)

Type
Label
  • Classification of Crystallographic Data Using Canonical Correlation Analysis (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1155/2007/19260 (literal)
Alternative label
  • M. Ladisa, A. Lamura, T. Laudadio (2007)
    Classification of Crystallographic Data Using Canonical Correlation Analysis
    in EURASIP journal on applied signal processing
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • M. Ladisa, A. Lamura, T. Laudadio (literal)
Pagina inizio
  • 19260 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2007 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ic cnr; iac cnr bari; iac cnr bari (literal)
Titolo
  • Classification of Crystallographic Data Using Canonical Correlation Analysis (literal)
Abstract
  • A reliable and automatic method is applied to crystallographic data for tissue typing. The technique is based on canonical correlation analysis, a statistical method which makes use of the spectral-spatial information characterizing X-ray diffraction data measured from bone samples with implanted tissues. The performance has been compared with a standard crystallographic technique in terms of accuracy and automation. The proposed approach is able to provide reliable tissue classification with a direct tissue visualization without requiring any user interaction. (literal)
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