SALE ON NOW! PROMOTIONS

Close Notification

Your cart does not contain any items

Computational Formalism: Art History and Machine Learning by Amanda Wasielewski at Abbey's Bookshop,
Computational Formalism: Art History and Machine Learning
— —
Amanda Wasielewski

Computational Formalism

Art History and Machine Learning

Amanda Wasielewski

$95

Paperback

Not in-store but you can order this
How long will it take?
English
MIT Press
20 June 2023
The Arts: General & Reference
How the use of machine learning to analyze art images has revived formalism in art history, presenting a golden opportunity for art historians and computer scientists to learn from one another.

How the use of machine learning to analyze art images has revived formalism in art history, presenting a golden opportunity for art historians and computer scientists to learn from one another.

Though formalism is an essential tool for art historians, much recent art history has focused on the social and political aspects of art. But now art historians are adopting machine learning methods to develop new ways to analyze the purely visual in datasets of art images. Amanda Wasielewski uses the term ""computational formalism"" to describe this use of machine learning and computer vision technique in art historical research. At the same time that art historians are analyzing art images in new ways, computer scientists are using art images for experiments in machine learning and computer vision. Their research, says Wasielewski, would be greatly enriched by the inclusion of humanistic issues. The main purpose in applying computational techniques such as machine learning to art datasets is to automate the process of categorization using metrics such as style, a historically fraught concept in art history. After examining a fifteen-year trajectory in image categorization and art dataset creation in the fields of machine learning and computer vision, Wasielewski considers deep learning techniques that both create and detect forgeries and fakes in art. She investigates examples of art historical analysis in the fields of computer and information sciences, placing this research in the context of art historiography. She also raises

questions as which artworks are chosen for digitization, and of those artworks that are born digital, which works gain acceptance into the canon of high art.
By:  
Imprint:   MIT Press
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 152mm, 
Weight:   369g
ISBN:   9780262545648
ISBN 10:   0262545640
Pages:   184
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

Amanda Wasielewski is Assistant Professor in Digital Humanities at Uppsala University. She is the author of Made in Brooklyn- Artists, Hipsters, Makers, Gentrifiers and From City Space to Cyberspace- Art, Squatting, and Internet Culture in the Netherlands.

See Inside

See Also

Computational Formalism: Art History and Machine Learning

Sketch like a Boss!

Shirish Deshpande

Paperback

$41.95 

Not in-store but you can order this

ADD +
Computational Formalism: Art History and Machine Learning

The Colour Bible

The definitive guide to colour in...

Laura Perryman

Hardback

$45 

In Stock 😊

ADD +
Computational Formalism: Art History and Machine Learning

The Marvel Portfolio of David Nakayama...

Marvel Universe

Mr. David Nakayama

Paperback

$89.99 

Not in-store but you can order this

ADD +
Computational Formalism: Art History and Machine Learning

Meanjin 84.1 Autumn 2025

Esther Anatolitis

Paperback

$24.99 

In Stock 😊

ADD +
Computational Formalism: Art History and Machine Learning

My First Words

Animals (Tibetan and English)

Thupten Chakrishar

Paperback

$30.95 

In Stock 😊

ADD +
Computational Formalism: Art History and Machine Learning

Harmony and Dissonance

Orphism in Paris, 1910–1930

Vivien Greene

Hardback

$128.95 

Not in-store but you can order this

ADD +