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Dictionary learning algorithms or supervised deep convolution networks have considerably improved the efficiency of predefined feature representations such as SIFT.
Back-Propagation Applied to Handwritten Zip Code Recognition
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Orthogonal least squares learning algorithm for radial basis function networks
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Distinctive image features from scale-invariant key-points
D. Lowe · 2004
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Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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Discovering objects and their location in images
J. Sivic, B. C. Russell, A. A. Efros, A. Zisserman, and W. T. Freeman · 2005
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Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
S. Lazebnik, C. Schmid, and J. Ponce · 2006
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On the difference between orthogonal matching pursuit and orthogonal least squares
T. Blumensath and M. E. Davies · 2007
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Extracting and composing robust features with denoising autoencoders
P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol · 2008
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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
H. Lee, R. B. Grosse, R. Ranganath, and A. Y. Ng · 2009
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Convolutional networks and applications in vision
Y. LeCun, K. Kavukcuoglu, and C. Farabet · 2010
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Ask the locals: Multi-way local pooling for image recognition
Y.-L. Boureau, N. L. Roux, F. Bach, J. Ponce, and Y. LeCun · 2011
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S. Mallat · 2011
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On Random Weights and Unsupervised Feature Learning
A. M. Saxe, P. W. Koh, Z. Chen, M. Bhand, B. Suresh, and A. Y. Ng · 2011
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Beyond spatial pyramids: Receptive field learning for pooled image features
Y. Jia, C. Huang, and T. Darrell · 2012
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ImageNet Classification with Deep Convolutional Neural Networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Invariant Scattering Convolution Networks
J. Bruna and S. Mallat · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. B. Girshick, J. Donahue, T. Darrell, and J. Malik · 2013
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Learning smooth pooling regions for visual recognition
M. Malinowski and M. Fritz · 2013
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Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination
L. Sifre and S. Mallat · 2013
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Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. J. Goodfellow, and R. Fergus · 2013
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Building high-level features using large scale unsupervised learning
Q. V. Le, M. Ranzato, R. Monga, M. Devin, G. Corrado, K. Chen, J. Dean, and A. Y. Ng · 2012
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Spatially Local Coding for Object Recognition
S. McCann and D. G. Lowe · 2012
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Learning Invariant Representations with Local Transformations
K. Sohn and H. Lee · 2012
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Multipath Sparse Coding Using Hierarchical Matching Pursuit
L. Bo, X. Ren, and D. Fox · 2013
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Stable and Efficient Representation Learning with Nonnegativity Constraints
T.-H. Lin and H. EDU
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M. D. Zeiler and R. Fergus · 2013
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Signal and Texture Recovery from Scattering Representations
J. Bruna · 2014
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Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
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C.-Y. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu · 2014
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