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Science / Neuroscience / Segmentation / Artificial neural network / Backpropagation through time / Recurrent neural network / Pattern recognition / Convolutional code / Computational neuroscience / Neural networks / Cybernetics


Recurrent Convolutional Neural Networks for Scene Labeling Pedro O. Pinheiro1,2 Ronan Collobert2 1 Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Lausanne, Switzerland
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Document Date: 2014-02-16 19:30:21


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File Size: 1,78 MB

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Ranzato / Turaga / Beijing / Barcelona / Lausanne / /

Company

Gould / Related Work Recurrent Neural Networks / Convolutional Neural Networks / Neural Information Processing Systems / out- Recurrent Convolutional Neural Networks / Artificial Neural Networks / Neural Networks / Intel / Recurrent Convolutional Neural Networks / /

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Switzerland / Jordan / Netherlands / China / /

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COM Idiap Research Institute / L APLACIAN PYRAMID / PYRAMID HISTOGRAM OF ORIENTED GRADIENTS / /

IndustryTerm

scene labeling systems / vision applications / recurrent networks / image processing / image applications / speech processing / recurrent network / higher computing time / natural language processing / backpropagation algorithm / back-propagation network / recursive networks / /

Organization

National Science Foundation / Cognitive Science Society / COM Idiap Research Institute / US Federal Reserve / Ecole Polytechnique F´ed´erale de Lausanne / Stanford / Swiss National Center of Competence / Pattern Analysis and Machine Intelligence / /

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Stanford Background / Pixel / /

Position

author / pylon model for semantic segmentation / feed-forward / /

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South Carolina / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Computational Linguistics / Machine Learning / /

Technology

natural language processing / neural network / Machine Learning / backpropagation algorithm / image processing / /

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www.im2.ch / /

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