• DocumentCode
    2708255
  • Title

    Learning averages over the lie group of unitary matrices

  • Author

    Fiori, Simone

  • Author_Institution
    Dipt. di Ing. Biomedica, Elettron. e Telecomun., Univ. Politec. delle Marche, Ancona, Italy
  • fYear
    2009
  • fDate
    14-19 June 2009
  • Firstpage
    833
  • Lastpage
    837
  • Abstract
    In the present paper, we treat the problem of learning averages out of a set of unitary matrices. We discuss a possible learning technique based on the differential geometrical properties of the Lie group of unitary matrices. We first recall some relevant notions from differential geometry, mainly related to Lie group theory, and then we propose a scheme for learning averages. Some numerical experiments will illustrate the features of the learnt averages.
  • Keywords
    Lie algebras; Lie groups; differential geometry; learning (artificial intelligence); matrix algebra; Lie group theory; average learning; differential geometrical properties; differential geometry; learning technique; unitary matrices; Biomedical signal processing; Diversity reception; Holographic optical components; Holography; Nonlinear optics; Optical scattering; Particle scattering; Quantum computing; Radar scattering; Sensor arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2009. IJCNN 2009. International Joint Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-3548-7
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2009.5178714
  • Filename
    5178714