Disentangling Factors of Variation for Facial Expression Recognition
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Pascal Vincent | Yoshua Bengio | Aaron C. Courville | Mehdi Mirza | Salah Rifai | Yoshua Bengio | Pascal Vincent | M. Mirza | S. Rifai | Mehdi Mirza | Salah Rifai
[1] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[2] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[3] M. Bartlett. Further aspects of the theory of multiple regression , 1938, Mathematical Proceedings of the Cambridge Philosophical Society.
[4] S. Wold,et al. The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses , 1984 .
[5] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[6] John C. Platt,et al. Postal Address Block Location Using a Convolutional Locator Network , 1993, NIPS.
[7] G. Cottrell,et al. A Simple Neural Network Models Categorical Perception of Facial Expressions , 1998 .
[8] G. Cottrell,et al. EMPATH: A Neural Network that Categorizes Facial Expressions , 2002, Journal of Cognitive Neuroscience.
[9] Lawrence K. Saul,et al. Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold , 2003, J. Mach. Learn. Res..
[10] M. Barker,et al. Partial least squares for discrimination , 2003 .
[11] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[12] Thomas Hofmann,et al. Greedy Layer-Wise Training of Deep Networks , 2007 .
[13] Marc'Aurelio Ranzato,et al. Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[15] Yoshua Bengio,et al. Classification using discriminative restricted Boltzmann machines , 2008, ICML '08.
[16] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[17] Yann LeCun,et al. Convolutional Learning of Spatio-temporal Features , 2010, ECCV.
[18] Y-Lan Boureau,et al. Learning Convolutional Feature Hierarchies for Visual Recognition , 2010, NIPS.
[19] Pascal Vincent,et al. Contractive Auto-Encoders: Explicit Invariance During Feature Extraction , 2011, ICML.
[20] Yoshua Bengio,et al. Unsupervised Models of Images by Spikeand-Slab RBMs , 2011, ICML.
[21] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[22] Honglak Lee,et al. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.
[23] Geoffrey E. Hinton,et al. On deep generative models with applications to recognition , 2011, CVPR 2011.
[24] Hossein Mobahi,et al. Deep Learning via Semi-supervised Embedding , 2012, Neural Networks: Tricks of the Trade.