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Jürgen Schmidhuber | Jonathan Masci | Gabriel Fricout | Ueli Meier | J. Schmidhuber | Jonathan Masci | U. Meier | G. Fricout
[1] Jürgen Schmidhuber,et al. Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction , 2011, ICANN.
[2] Yann LeCun,et al. Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks , 1998, NIPS.
[3] Yoshua Bengio,et al. Word-level training of a handwritten word recognizer based on convolutional neural networks , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).
[4] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[5] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[6] Marc'Aurelio Ranzato,et al. Efficient Learning of Sparse Representations with an Energy-Based Model , 2006, NIPS.
[7] Yoshua Bengio,et al. Convolutional networks for images, speech, and time series , 1998 .
[8] Luca Maria Gambardella,et al. Convolutional Neural Network Committees for Handwritten Character Classification , 2011, 2011 International Conference on Document Analysis and Recognition.
[9] 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).
[10] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[11] Jürgen Schmidhuber,et al. Steel defect classification with Max-Pooling Convolutional Neural Networks , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).
[12] Shree K. Nayar,et al. Reflectance and texture of real-world surfaces , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[14] Jürgen Schmidhuber,et al. Multi-column deep neural networks for image classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[16] Luca Maria Gambardella,et al. High-Performance Neural Networks for Visual Object Classification , 2011, ArXiv.
[17] Luca Maria Gambardella,et al. Flexible, High Performance Convolutional Neural Networks for Image Classification , 2011, IJCAI.
[18] 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.
[19] Fei Yin,et al. ICDAR 2011 Chinese Handwriting Recognition Competition , 2011, 2011 International Conference on Document Analysis and Recognition.
[20] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Andrew Zisserman,et al. A Statistical Approach to Texture Classification from Single Images , 2004, International Journal of Computer Vision.
[22] Jeffrey Pennington,et al. Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection , 2011, NIPS.
[23] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[24] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[25] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, CVPR.
[26] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[27] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[28] Patrice Y. Simard,et al. Best practices for convolutional neural networks applied to visual document analysis , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..
[29] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[30] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[31] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[32] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[33] Vincent Lepetit,et al. Are sparse representations really relevant for image classification? , 2011, CVPR 2011.
[34] Honglak Lee,et al. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.
[35] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[36] Sven Behnke,et al. Hierarchical Neural Networks for Image Interpretation , 2003, Lecture Notes in Computer Science.
[37] Jürgen Schmidhuber,et al. A committee of neural networks for traffic sign classification , 2011, The 2011 International Joint Conference on Neural Networks.
[38] Andrew Zisserman,et al. Representing shape with a spatial pyramid kernel , 2007, CIVR '07.
[39] Kunihiko Fukushima,et al. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.