• DocumentCode
    1562847
  • Title

    Computational Information Geometry and its Applications

  • Author

    Wang, Shoujue

  • Author_Institution
    Artificial Neural Networks Lab, Institute of Semiconductors, Chinese Academy of Science, P.O.Box 912, Beijing 100083, P.R.China. E-mail: wsjue@red.semi.ac.cn
  • Volume
    1
  • fYear
    2005
  • Abstract
    Digitization is the main feature of modern Information Science. Conjoining the digits and the coordinates, the relation between Information Science and high-dimensional space is consanguineous, and the information issues are transformed to the geometry problems in some high-dimensional spaces. From this basic idea, we propose Computational Information Geometry (CIG) to make information analysis and processing. Two kinds of applications of CIG are given, which are blurred image restoration and pattern recognition. Experimental results are satisfying. And in this paper, how to combine with groups of simple operators in some 2D planes to implement the geometrical computations in high-dimensional space is also introduced. Lots of the algorithms have been realized using software.
  • Keywords
    Artificial neural networks; Computer networks; Computer science; Humans; Image restoration; Information analysis; Information geometry; Information science; Pattern recognition; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614550
  • Filename
    1614550