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Computational Formalism: Art History and Machine Learning, Amanda Wasielewski

879 ₴

  • В наличии
  • Код: sku41667
Computational Formalism: Art History and Machine Learning, Amanda Wasielewski
Computational Formalism: Art History and Machine Learning, Amanda WasielewskiВ наличии
879 ₴
+380 (66) 541-32-88
+380 (66) 541-32-88
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Computational Formalism: Art History and Machine Learning, Amanda Wasielewski купить книгу в Україні

Обкладинка - м"яка

Рік видання - 2023

Кількість сторінок - 200

Папір - білий, офсет

Про книгу Computational Formalism: Art History and Machine Learning, Amanda Wasielewski

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 s 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.

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Computational Formalism: Art History and Machine Learning, Amanda Wasielewski

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Характеристики
Основные
ПроизводительCanon
Пользовательские характеристики
Друкчорно-білий
ЯзыкEnglish
Папірбілий, офсет
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  • Цена: 879 ₴