Machine Learning Open Source Software / Neural Information Processing Systems / Neural Networks / AT&T / Convolutional Networks Convolutional Networks / NEC / MIT Press / Convolutional Networks / Google / Canon / N. Pinto D. D. / Microsoft / Vidient Technologies / /
Continent
Europe / /
Country
Japan / United States / / /
Facility
Courant Institute of Mathematical Sciences / New York University / /
IndustryTerm
filter bank / dot products / energy-based learning / optimization algorithm / sparse solution / large bank check reading / sparse coding algorithms / back-propagation algorithm / software implementations / unsupervised random template selection algorithm / embedded vision systems / document processing / face detection systems / unsupervised learning algorithms / unsupervised competitive learning algorithm / filter bank layers / multi-layer feature extraction systems / feature extraction systems / deep belief networks / aer hardware sensory-processing-learningactuating system / parallel hardware / optimization algorithms / embedded real-time vision / experimental detection applications / image processing / energy-based inference / mixed analogdigital processor / energy-based models / filter bank layer / recent successful object recognition systems / fpga-based stream processor / operational bank check reading system / back-propagation network / recognition systems / /
Organization
New York University / MIT / US Federal Reserve / Vision Yann LeCun / Koray Kavukcuoglu and Cl´ement Farabet Computer Science Department / Courant Institute of Mathematical Sciences / Pattern Analysis and Machine Intelligence / /
Convolutional Networks and Applications in Vision Yann LeCun, Koray Kavukcuoglu and Cl´ement Farabet Computer Science Department, Courant Institute of Mathematical Sciences, New York University {yann,koray,cfarabet}@cs.