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Machine Learning and Notions of the Image
Rosemary Lee
Center for Digital Play
Robotics, Evolution, and Art Lab
Research output
:
Theses
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PhD thesis
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Dive into the research topics of 'Machine Learning and Notions of the Image'. Together they form a unique fingerprint.
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Arts and Humanities
Art History
50%
Artificial
50%
Artists
50%
Computer Science
50%
Discourse
50%
Engagement
50%
Experimental practice
50%
Genius
50%
Historical Narrative
50%
Humanistic
50%
Hype
50%
Modality
50%
Narrative
50%
Perceptual Experience
50%
Reactionary
50%
Visual media
100%
Visual technology
50%
Keyphrases
Archaeological Approach
9%
Art History
9%
Artificial Perception
9%
Computer Science
9%
Counter-narratives
9%
Experimental Practice
9%
Historical Narrative
9%
Human Vision
9%
Humanistic Perspective
9%
Hype
9%
Image Production
27%
Image Theory
9%
Interpretive Processes
9%
Learning Representations
9%
Machine Learning
100%
Mediating Role
9%
Perceptual Experience
9%
Statistical Analysis
18%
Technological Mediation
18%
Technological Process
9%
Technology Development
9%
Technology Implementation
9%
Visual Artifacts
9%
Visual Content
9%
Visual Media
18%
Visual Technology
9%
Psychology
Narrative
100%
Perceptual Experience
50%
Statistical Analysis
100%
Computer Science
Computer Science
9%
Data Analysis
9%
Learning System
100%
Machine Learning
100%
Perceptual Experience
9%
Visual Content
9%