Simultaneous design of feature extractor and pattern classifier using the minimum classification error training algorithm

K. K. Paliwal, M. Bacchiani, Yoshinori Sagisaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Recently, a minimum classification error training algorithm has been proposed for minimizing the misclassification probability based on a given set of training samples using a generalized probabilistic descent method. This algorithm is a type of discriminative learning algorithm, but it approaches the objective of minimum classification error in a more direct manner than the conventional discriminative training algorithms. We apply this algorithm for simultaneous design of feature extractor and pattern classifier, and demonstrate some of its properties and advantages.

Original languageEnglish
Title of host publicationNeural Networks for Signal Processing - Proceedings of the IEEE Workshop
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages67-76
Number of pages10
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 5th IEEE Workshop on Neural Networks for Signal Processing (NNSP'95) - Cambridge, MA, USA
Duration: 1995 Aug 311995 Sep 2

Other

OtherProceedings of the 5th IEEE Workshop on Neural Networks for Signal Processing (NNSP'95)
CityCambridge, MA, USA
Period95/8/3195/9/2

Fingerprint

Classifiers
Learning algorithms

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

Paliwal, K. K., Bacchiani, M., & Sagisaka, Y. (1995). Simultaneous design of feature extractor and pattern classifier using the minimum classification error training algorithm. In Neural Networks for Signal Processing - Proceedings of the IEEE Workshop (pp. 67-76). Piscataway, NJ, United States: IEEE.

Simultaneous design of feature extractor and pattern classifier using the minimum classification error training algorithm. / Paliwal, K. K.; Bacchiani, M.; Sagisaka, Yoshinori.

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop. Piscataway, NJ, United States : IEEE, 1995. p. 67-76.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Paliwal, KK, Bacchiani, M & Sagisaka, Y 1995, Simultaneous design of feature extractor and pattern classifier using the minimum classification error training algorithm. in Neural Networks for Signal Processing - Proceedings of the IEEE Workshop. IEEE, Piscataway, NJ, United States, pp. 67-76, Proceedings of the 5th IEEE Workshop on Neural Networks for Signal Processing (NNSP'95), Cambridge, MA, USA, 95/8/31.
Paliwal KK, Bacchiani M, Sagisaka Y. Simultaneous design of feature extractor and pattern classifier using the minimum classification error training algorithm. In Neural Networks for Signal Processing - Proceedings of the IEEE Workshop. Piscataway, NJ, United States: IEEE. 1995. p. 67-76
Paliwal, K. K. ; Bacchiani, M. ; Sagisaka, Yoshinori. / Simultaneous design of feature extractor and pattern classifier using the minimum classification error training algorithm. Neural Networks for Signal Processing - Proceedings of the IEEE Workshop. Piscataway, NJ, United States : IEEE, 1995. pp. 67-76
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