Multi-scale descriptions of real-time trends and their impact in pattern recognition

George Stephanopoulos

doi:10.23919/acc.1991.4791819

Multi-scale descriptions of real-time trends and their impact in pattern recognition

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

Abstract

The author shows how a unifying symbolic representation of process trends leads to a systematic extraction of their temporal features and precise classification of trends. Such classification may proceed in a syntactic, semi-quantitative, or fully quantitative manner, depending on the characteristics of the problem being solved. Furthermore, it is argued that a multi-scale representation of process trends is essential in pattern recognition, and it is shown how the unifying representation of trends allows for the decomposition of signals at various levels of abstraction.

Original language	English (US)
Title of host publication	Proceedings of the American Control Conference
Publisher	Publ by American Automatic Control Council
Pages	2320-2325
Number of pages	6
ISBN (Print)	0879425652, 9780879425654
DOIs	https://doi.org/10.23919/acc.1991.4791819
State	Published - 1991
Externally published	Yes
Event	Proceedings of the 1991 American Control Conference - Boston, MA, USA Duration: Jun 26 1991 → Jun 28 1991

Publication series

Name	Proceedings of the American Control Conference
Volume	3
ISSN (Print)	0743-1619

Other

Other	Proceedings of the 1991 American Control Conference
City	Boston, MA, USA
Period	6/26/91 → 6/28/91

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.23919/acc.1991.4791819

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Stephanopoulos, G 1991, Multi-scale descriptions of real-time trends and their impact in pattern recognition. in Proceedings of the American Control Conference. Proceedings of the American Control Conference, vol. 3, Publ by American Automatic Control Council, pp. 2320-2325, Proceedings of the 1991 American Control Conference, Boston, MA, USA, 6/26/91. https://doi.org/10.23919/acc.1991.4791819

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year = "1991",

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AB - The author shows how a unifying symbolic representation of process trends leads to a systematic extraction of their temporal features and precise classification of trends. Such classification may proceed in a syntactic, semi-quantitative, or fully quantitative manner, depending on the characteristics of the problem being solved. Furthermore, it is argued that a multi-scale representation of process trends is essential in pattern recognition, and it is shown how the unifying representation of trends allows for the decomposition of signals at various levels of abstraction.

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ER -

Multi-scale descriptions of real-time trends and their impact in pattern recognition

Abstract

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Other

ASJC Scopus subject areas

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