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[1] Sander Dieleman,et al. Rotation-invariant convolutional neural networks for galaxy morphology prediction , 2015, ArXiv.
[2] Koray Kavukcuoglu,et al. Exploiting Cyclic Symmetry in Convolutional Neural Networks , 2016, ICML.
[3] Pascal Frossard,et al. Learning Parametric Dictionaries for Signals on Graphs , 2014, IEEE Transactions on Signal Processing.
[4] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[5] Pascal Frossard,et al. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains , 2012, IEEE Signal Processing Magazine.
[6] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[7] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[8] Pascal Frossard,et al. Chebyshev polynomial approximation for distributed signal processing , 2011, 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS).
[9] Bernt Schiele,et al. Analyzing appearance and contour based methods for object categorization , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[10] Stéphane Mallat,et al. Deep roto-translation scattering for object classification , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[12] Joan Bruna,et al. Spectral Networks and Locally Connected Networks on Graphs , 2013, ICLR.
[13] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[14] Silvio Savarese,et al. Structural-RNN: Deep Learning on Spatio-Temporal Graphs , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Joan Bruna,et al. Deep Convolutional Networks on Graph-Structured Data , 2015, ArXiv.
[16] Stephan J. Garbin,et al. Harmonic Networks: Deep Translation and Rotation Equivariance , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Max Welling,et al. Group Equivariant Convolutional Networks , 2016, ICML.
[18] Joachim M. Buhmann,et al. TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Beat Fasel,et al. Rotation-Invariant Neoperceptron , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[20] Yann LeCun,et al. Fast Training of Convolutional Networks through FFTs , 2013, ICLR.
[21] Jasper Snoek,et al. Spectral Representations for Convolutional Neural Networks , 2015, NIPS.
[22] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[23] Pierre Vandergheynst,et al. Geodesic Convolutional Neural Networks on Riemannian Manifolds , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[24] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[25] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[26] Phil Blunsom,et al. A Convolutional Neural Network for Modelling Sentences , 2014, ACL.
[27] Donald E. Knuth,et al. The art of computer programming: sorting and searching (volume 3) , 1973 .
[28] Michele Volpi,et al. Learning rotation invariant convolutional filters for texture classification , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[29] Alán Aspuru-Guzik,et al. Convolutional Networks on Graphs for Learning Molecular Fingerprints , 2015, NIPS.
[30] S. Mallat,et al. Invariant Scattering Convolution Networks , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[32] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[33] Jean Ponce,et al. A Theoretical Analysis of Feature Pooling in Visual Recognition , 2010, ICML.
[34] Donald E. Knuth,et al. The Art of Computer Programming: Volume 3: Sorting and Searching , 1998 .
[35] Xiao-Li Meng,et al. The Art of Data Augmentation , 2001 .
[36] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .