• DocumentCode
    398531
  • Title

    Parameter estimation for spatial random trees using the EM algorithm

  • Author

    Pollak, I. ; Siskind, JM ; Harper, M.P. ; Bouman, C.A.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    14-17 Sept. 2003
  • Abstract
    A new class of multiscale multidimensional stochastic processes called spatial random trees was recently introduced in J. Pollak et al. (2003). The model is based on multiscale stochastic trees with stochastic structure as well as stochastic states. In this work, we describe a method for estimating the parameters of the process.
  • Keywords
    context-free grammars; multidimensional signal processing; parameter estimation; stochastic processes; EM algorithm; multiscale multidimensional stochastic processes; parameter estimation; spatial random trees; Character recognition; Context modeling; Hidden Markov models; Inference algorithms; Multidimensional systems; Optical character recognition software; Parameter estimation; State estimation; Stochastic processes; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7750-8
  • Type

    conf

  • DOI
    10.1109/ICIP.2003.1246947
  • Filename
    1246947
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=398531