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We provide a rigorous definition of the visual cause of a behavior that is broadly applicable to the visually driven behavior in humans, animals, neurons, robots and other perceiving systems.
Distinctness of the eigenvalues of a quadratic form in a multivariate sample
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Human (Homo sapiens) facial attractiveness and sexual selection: The role of symmetry and averageness
K. Grammer and R. Thornhill · 1994
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Strong completeness and faithfulness in Bayesian networks
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Causation, prediction, and search
P. Spirtes, C. N. Glymour, and R. Scheines · 2000
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Causal architecture, complexity and self-organization in the time series and cellular automata
C. R. Shalizi · 2001
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Computational mechanics: Pattern and prediction, structure and simplicity
C. R. Shalizi and J. P. Crutchfield · 2001
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A statistical problem for inference to regulatory structure from associations of gene expression measurements with microarrays
T. Chu, C. Glymour, R. Scheines, and P. Spirtes · 2003
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Causal inference of ambiguous manipulations
P. Spirtes and R. Scheines · 2004
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Representing shape with a spatial pyramid kernel
A. Bosch, A. Zisserman, and X. Munoz · 2007
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The pyramid match kernel: Efficient learning with sets of features
K. Grauman and T. Darrell · 2007
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Causal feature selection
I. Guyon, A. Elisseeff, and C. Aliferis · 2007
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Image classification with segmentation graph kernels
Z. Harchaoui and F. Bach · 2007
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Using Markov blankets for causal structure learning
J. P. Pellet and A. Elisseeff · 2008
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An analysis of active learning strategies for sequence labeling tasks
B. Settles and M. Craven · 2008
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ImageNet Classification with Deep Convolutional Neural Networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Representation learning: A review and new perspectives
Y. Bengio, A. Courville, and P. Vincent · 2013
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I. J. Goodfellow and D. Warde-Farley · 2013
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Quantifying causal emergence shows that macro can beat micro
E. P. Hoel, L. Albantakis, and G. Tononi · 2013
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The Ignorant Led by the Blind: A Hybrid Human–Machine Vision System for Fine-Grained Categorization
S. Branson, G. Van Horn, and C. Wah · 2014
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J. Pearl · 2009
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Graph kernels
S. V. N. Vishwanathan · 2010
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Pedestrian detection: An evaluation of the state of the art
P. Dollar, C. Wojek, B. Schiele, and P. Perona · 2012
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Improving neural networks by preventing co-adaptation of feature detectors
G. E. Hinton and N. Srivastava · 2012
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Using causal induction in humans to learn and infer causality from video
A. S. Fire and S. C. Zhu
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Learning Perceptual Causality from Video
A. S. Fire and S. C. Zhu
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I. J. Goodfellow, J. Shlens, and C. Szegedy · 2014
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ImageNet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2014
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Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2014
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Part-based R-CNNs for fine-grained category detection
N. Zhang, J. Donahue, R. Girshick, and T. Darrell · 2014
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