Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets

  • Authors
  • Gooya A, Lekadir K, Castro-Mateos I, Pozo J, Frangi A
  • UPF authors
  • LEKADIR ., KARIM;
  • Type
  • Scholarly articles
  • Journal títle
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Publication year
  • 2018
  • Volume
  • 40
  • Number
  • 4
  • Pages
  • 891-904
  • ISSN
  • 0162-8828
  • Publication State
  • Published
  • Abstract
  • apos;s. The method is applied to point sets from: i) synthetic data, ii) healthy versus pathological heart morphologies, and iii) lumbar vertebrae. The proposed method selects models with expected numbers of clusters and variation modes, achieving lower generalization-specificity errors compared to state-of-the-art.
  • Complete citation
  • Gooya A, Lekadir K, Castro-Mateos I, Pozo J, Frangi A. Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018; 40(4): 891-904.
Bibliometric indicators
  • 4 times cited Scopus
  • 4 times cited WOS
  • Índex Scimago de 3.764(2018)