Computational Formalism. Art History and Machine Learning

Contents
Series Foreword
Acknowledgments
Introduction: Return to Form
	Machine Learning and Computer Vision
	The New Science Wars
	Digital Art History
	Objectivity and Cultural Studies
	Art History and Objectivity
	Computational Formalism
	Questions of Style
1. The Shape of Data
	Digitization and Dataset Creation
	The Semantic Gap
	Artificial ArtHistorian
	Image Selection
	Image Categorization
	Stylistic Determinism
	Style Unsupervised
	Stylistic Devices
2. Deep Connoisseurship
	Cat, Dog, or Virgin Mary?
	Value, Fame, and the Artist’s Hand
	Opening the Black Box
	The Business of Authenticity
	Next-Level Forgeries and Fakes
	An Artificial Artist?
	Poor Images
3. Conclusion: Man, Machine, Metaphor
	The Rise of the Humanities Lab
	Foreign Metaphors as Interdisciplinary Tool
Appendix: Classification by Artistic Style, Publications in Computer Science, 2005–2021, Including the Development and Utilization of Fine Art Datasets
Notes
	Introduction
	Chapter 1
	Chapter 2
	Chapter 3
	Appendix
Index