02278nam a22002297a 4500 20240521102943.0 240521b |||||||| |||| 00| 0 eng d 9780262545648 : International Books Distributor : Flat No. 17, Prakash Apartment, 4405/2, 5, Ansari Road, Daryaganj, New Delhi : 120440 : 10/05/2024 702.85 WAS Wasielewski, Amanda. Computational Formalism : Art History and Machine Learning. / Amanda Wasielewski. , London : The MIT Press , 2023. xii, 188p. : 24cm. 2422 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” todescribe 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. Formalism Art historians Computational formalism Amanda Wasielewski. BOOK 61687 61687 0 0 ddc 0 0 SNUL SNUL 2024-05-21 International Book Distributors 2422.00 1 702.85 WAS 30190 2025-10-14 22:17:45 2025-09-11 2024-05-21 BOOK