• DocumentCode
    303426
  • Title

    A linear transform that simplifies and improves neural-network classifiers

  • Author

    Torrieri, Don

  • Author_Institution
    Army Res. Lab., Adelphi, MD, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    3-6 Jun 1996
  • Firstpage
    1738
  • Abstract
    This paper presents a linear transform that compresses data in a manner designed to improve the performance of a binary classifier. The transform, which is called the eigenspace separation transform, allows the reduction of the size of a neural network while enhancing its generalization accuracy as a binary classifier
  • Keywords
    pattern classification; binary classifier; data compression; eigenspace separation transform; linear transform; neural-network classifiers; Data compression; Karhunen-Loeve transforms; Laboratories; Mean square error methods; Milling machines; Neural networks; Powders; Principal component analysis; Telephony; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.549163
  • Filename
    549163
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=303426