Pattern classification in dynamical environments: Tagged feature-class space and univariate sequential classifier

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

Abstract

This paper presents a statistic pattern recognition and machine learning based classification system paradigm. It focuses on solving problems underlying environments where the attributes of the system exhibit strong uncertainties. Configurations of classifiers therefore have to undergo continual changes during the running process. The classifier discussed here is characterized by a tagged feature-class representation, a dimension-wise univariate discrimination scheme, a default hierarchy of classification, as well as a logic-based learning strategy. Concepts of distinguishability and univariately distinguishable classes under classification are studied. Procedures developed for forming an univariately distinguishable class-feature space by learning are described.

Original languageEnglish (US)
Title of host publicationPattern Recognition - 4th International Conference, Proceedings
EditorsJ. Kittler
PublisherSpringer Verlag
Pages517-526
Number of pages10
ISBN (Print)9783540190363
DOIs
Publication statusPublished - Jan 1 1988
Event4th International Conference on Pattern Recognition, 1988 - Cambridge, United Kingdom
Duration: Mar 28 1988Mar 30 1988

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume301 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Pattern Recognition, 1988
CountryUnited Kingdom
CityCambridge
Period3/28/883/30/88

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Keywords

  • Distinguishability
  • Goal-directed induction
  • Logic-based learning
  • Tagged feature-class space
  • Univariate sequential classifier
  • Univariately distinguishable

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Zhu, Q. (1988). Pattern classification in dynamical environments: Tagged feature-class space and univariate sequential classifier. In J. Kittler (Ed.), Pattern Recognition - 4th International Conference, Proceedings (pp. 517-526). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 301 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-19036-8_52