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Face recognition / Science / Computational neuroscience / Affective computing / Face / Facial recognition system / Pattern recognition / Backpropagation / Autoencoder / Neural networks / Machine learning / Artificial intelligence


Multi-Task Learning of Facial Landmarks and Expression Terrance Devries1 , Kumar Biswaranjan2 , and Graham W. Taylor1 1 2
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Document Date: 2014-12-09 21:24:19

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City

Guelph / /

Company

Deep Belief Networks / Neural Information Processing Systems / Weston / /

Country

Canada / /

Facility

University of Guelph / University of Toronto / /

IndustryTerm

convolutional network / natural language processing / sparse rectifier networks / energy-based models / multi-task convolutional network / backpropagation algorithm / /

Organization

School of Engineering / University of Toronto / Toronto / U.S. Securities and Exchange Commission / Department of Computer Science / Department of Electronics and Electrical Engineering / Analysis and Machine Intelligence / US Federal Reserve / University of Guelph / /

Person

J. Susskind / V / /

Position

OFFICIAL / /

ProvinceOrState

Ontario / /

PublishedMedium

The Journal of Machine Learning Research / Machine Learning / /

Technology

natural language processing / Machine Learning / neural network / artificial intelligence / backpropagation algorithm / /

URL

http /

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