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[1] Doris Y. Tsao,et al. Functional Compartmentalization and Viewpoint Generalization Within the Macaque Face-Processing System , 2010, Science.
[2] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[3] Joel Z. Leibo,et al. Learning and disrupting invariance in visual recognition with a temporal association rule , 2011, Front. Comput. Neurosci..
[4] Joel Z. Leibo,et al. Learning invariant representations and applications to face verification , 2013, NIPS.
[5] Michael W. Spratling. Learning viewpoint invariant perceptual representations from cluttered images , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Joel Z. Leibo,et al. Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines? , 2013, ArXiv.
[7] Peter Földiák,et al. Learning Invariance from Transformation Sequences , 1991, Neural Comput..
[8] Shiguang Shan,et al. Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Joel Z. Leibo,et al. The invariance hypothesis and the ventral stream , 2014 .
[10] T. Poggio,et al. Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.
[11] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[12] E. Oja. Simplified neuron model as a principal component analyzer , 1982, Journal of mathematical biology.
[13] Terrence J. Sejnowski,et al. Slow Feature Analysis: Unsupervised Learning of Invariances , 2002, Neural Computation.
[14] Joel Z. Leibo,et al. Subtasks of Unconstrained Face Recognition , 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).
[15] J. DiCarlo,et al. Neuronal Learning of Invariant Object Representation in the Ventral Visual Stream Is Not Dependent on Reward , 2012, The Journal of Neuroscience.
[16] Tal Hassner,et al. Multiple One-Shots for Utilizing Class Label Information , 2009, BMVC.
[17] Sharat Chikkerur,et al. Approximations in the HMAX Model , 2011 .
[18] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[19] Eric T. Carlson,et al. A neural code for three-dimensional object shape in macaque inferotemporal cortex , 2008, Nature Neuroscience.
[20] Edmund T. Rolls,et al. Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet , 2012, Front. Comput. Neurosci..
[21] Frédéric Jurie,et al. Face Recognition using Local Quantized Patterns , 2012, BMVC.
[22] Brian C. Lovell,et al. Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference , 2009, ICB.
[23] J. DiCarlo,et al. Unsupervised Natural Visual Experience Rapidly Reshapes Size-Invariant Object Representation in Inferior Temporal Cortex , 2010, Neuron.
[24] Lorenzo Rosasco,et al. Unsupervised learning of invariant representations with low sample complexity: the magic of sensory cortex or a new framework for machine learning? , 2014 .
[25] Frédéric Jurie,et al. Learning Visual Similarity Measures for Comparing Never Seen Objects , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[27] S. Gerber,et al. Unsupervised Natural Experience Rapidly Alters Invariant Object Representation in Visual Cortex , 2008 .
[28] Josef Kittler,et al. Efficient processing of MRFs for unconstrained-pose face recognition , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[29] Niko Wilbert,et al. Invariant Object Recognition and Pose Estimation with Slow Feature Analysis , 2011, Neural Computation.
[30] Stan Z. Li,et al. Towards Pose Robust Face Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Thomas Serre,et al. Robust Object Recognition with Cortex-Like Mechanisms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Gaurav Sharma,et al. Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis , 2012, ECCV.
[33] Tomaso Poggio,et al. Fast Readout of Object Identity from Macaque Inferior Temporal Cortex , 2005, Science.