Face dissimilarity judgments are predicted by representational distance in morphable and image-computable models
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Title
Face dissimilarity judgments are predicted by representational distance in morphable and image-computable models
Authors
Keywords
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Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 119, Issue 27, Pages -
Publisher
Proceedings of the National Academy of Sciences
Online
2022-06-30
DOI
10.1073/pnas.2115047119
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- (2017) Johan D. Carlin et al. PLoS Computational Biology
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- (2016) Winrich Freiwald et al. Annual Review of Neuroscience
- A Unified Framework for Compositional Fitting of Active Appearance Models
- (2016) Joan Alabort-i-Medina et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Face-Space: A Unifying Concept in Face Recognition Research
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- Predicting the psychophysical similarity of faces and non-face complex shapes by image-based measures
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- The role of holistic processing in face perception: Evidence from the face inversion effect
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- (2008) Doris Y. Tsao et al. Annual Review of Neuroscience
- Maximum differentiation (MAD) competition: A methodology for comparing computational models of perceptual quantities
- (2008) Z. Wang et al. JOURNAL OF VISION
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