Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

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Backpropagation Applied to Handwritten Zip Code Recognition

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Training Products of Experts by Minimizing Contrastive Divergence

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Greedy Layer-Wise Training of Deep Networks

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Neural Information Processing Systems

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The “independent components” of natural scenes are edge filters

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Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories

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Hierarchical Bayesian inference in the visual cortex

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Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition

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SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition

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Efficient Learning of Sparse Representations with an Energy-Based Model

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Untitled

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Sparse deep belief net model for visual area V2

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Shape Matching and Object Recognition Using Low Distortion Correspondences

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Modeling Human Motion Using Binary Latent Variables

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Large-scale deep unsupervised learning using graphics processors

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Learning The Discriminative Power-Invariance Trade-Off

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Multiclass Object Recognition with Sparse, Localized Features

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Deep learning via semi-supervised embedding

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Representation of Angles Embedded within Contour Stimuli in Area V2 of Macaque Monkeys

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Deep Learning with Kernel Regularization for Visual Recognition

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