• DocumentCode
    2022867
  • Title

    The Information Bottleneck Revisited or How to Choose a Good Distortion Measure

  • Author

    Harremoes, P. ; Tishby, N.

  • Author_Institution
    Centrum voor Wiskunde en Inf., Amsterdam
  • fYear
    2007
  • fDate
    24-29 June 2007
  • Firstpage
    566
  • Lastpage
    570
  • Abstract
    It is well-known that the information bottleneck method and rate distortion theory are related. Here it is described how the information bottleneck can be considered as rate distortion theory for a family of probability measures where information divergence is used as distortion measure. It is shown that the information bottleneck method has some properties that are not shared with rate distortion theory based on any other divergence measure. In this sense the information bottleneck method is unique.
  • Keywords
    distortion; information theory; distortion measure; information bottleneck; information divergence; probability measures; rate distortion theory; Computer science; Distortion measurement; Information retrieval; Kernel; Loss measurement; Random variables; Rate distortion theory; Rate-distortion; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. ISIT 2007. IEEE International Symposium on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-1397-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2007.4557285
  • Filename
    4557285