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Achievable rates for pattern recognition: Binary and Gaussian cases

  • M. Brandon Westover
  • , Joseph A. O'Sullivan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Recently we presented information-theoretic bounds for the achievable rates of pattern recognition systems operating under data compression constraints. In this paper we improve on our previous inner bound, and report progress toward finding formulas for the achievable rate region boundaries in the special cases where the pattern data is either binary or Gaussian.

Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE International Symposium on Information Theory, ISIT 05
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages28-32
Number of pages5
ISBN (Print)0780391519, 9780780391512
DOIs
StatePublished - 2005
Event2005 IEEE International Symposium on Information Theory, ISIT 2005 - Adelaide, Australia
Duration: Sep 4 2005 → Sep 9 2005

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2005
ISSN (Print)2157-8095
ISSN (Electronic)2157-8117

Conference

Conference2005 IEEE International Symposium on Information Theory, ISIT 2005
Country/TerritoryAustralia
CityAdelaide
Period09/4/05 → 09/9/05

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