The Locator -- [(subject = "Art--Methodology--Methodology")]

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Author:
Wasielewski, Amanda, author. aut
Title:
Computational formalism : art history and machine learning / Amanda Wasielewski.
Publisher:
The MIT Press,
Copyright Date:
2023
Description:
xii, 188 pages : illustrations (chiefly color) ; 23 cm.
Subject:
Art--History.
Art--Data processing.--Data processing.
Art--Methodology.--Methodology.
Art--Methodology.--Methodology.
Art--Data processing.--Data processing.
Notes:
Includes bibliographical references (pages [145]-175) and index.
Contents:
Return to form -- The shape of data -- Deep connoisseurship -- Conclusion : Man, machine, metaphor -- Appendix. Classification by Artistic Style, Publications in Computer Science 2005-2021, Including the Development and Utilization of Fine Art Datasets.
Summary:
"Computational Formalism investigates examples of art historical analysis in the fields of computer and information sciences, and frames this research in the context of art historiography. The use of machine learning to analyze art images has ushered in a renewed interest in formalism in art history, but these new techniques create new critical challenges for the field"-- Provided by publisher.
Series:
Leonardo
ISBN:
0262545640
9780262545648
OCLC:
(OCoLC)1340974786
LCCN:
2022029684
Locations:
OVUX522 -- University of Iowa Libraries (Iowa City)

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