Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications [electronic resource] : 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11896Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XX, 793 p. 352 illus., 213 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030339043

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.4 23

LOC classification:

Q337.5
TK7882.P3

Online resources:

Click here to access online

Contents:

Keynote Lecture -- Data Mining: Natural Language Processing and Text Mining -- Image Analysis and Retrieval -- Machine Learning and Neural Networks -- Mathematical Theory of Pattern Recognition -- Pattern Recognition and Applications -- Signals Analysis and Processing -- Speech Recognition -- Video Analysis.

In: Springer Nature eBookSummary: This book constitutes the refereed conference proceedings of the 24rd Iberoamerican Congress on Pattern Recognition, CIARP 2019, held in Havana, Cuba, in October 2019. The 70 papers presented were carefully reviewed and selected from 128 submissions. The papers are organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech Recognition; Video Analysis.

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This book constitutes the refereed conference proceedings of the 24rd Iberoamerican Congress on Pattern Recognition, CIARP 2019, held in Havana, Cuba, in October 2019. The 70 papers presented were carefully reviewed and selected from 128 submissions. The papers are organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech Recognition; Video Analysis.

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