• DocumentCode
    614645
  • Title

    Cyclic stochastic optimization with an application to structure from motion and convergence for separable loss functions

  • Author

    Hernndez-Cuevas, Karla

  • Author_Institution
    Whiting Sch. of Eng., Johns Hopkins Univ., Baltimore, MD, USA
  • fYear
    2013
  • fDate
    20-22 March 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we present the motivation behind cyclic stochastic optimization and give an example of how it can be applied to a structure from motion problem. We give sufficient conditions for convergence of cyclic simultaneous perturbation stochastic approximation as well as for cyclic stochastic gradient in the case of a linearly separable loss function.
  • Keywords
    gradient methods; motion estimation; optimisation; stochastic programming; cyclic simultaneous perturbation stochastic approximation; cyclic stochastic gradient; cyclic stochastic optimization; separable loss functions; structure from motion; Convergence; Equations; Loss measurement; Noise measurement; Optimization; Stochastic processes; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2013 47th Annual Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4673-5237-6
  • Electronic_ISBN
    978-1-4673-5238-3
  • Type

    conf

  • DOI
    10.1109/CISS.2013.6552333
  • Filename
    6552333
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=614645