Recursive Neural Networks / Single-Layer Networks / Neural Networks / MIT Press / Air Force Research Laboratory / GPU / N. Pinto D. D. / Tree Recursive Neural Networks / Microsoft / CNN / /
Country
United States / /
Currency
pence / / /
Facility
Carnegie Mellon University / Stanford University / Robotics Institute / Pyramid Match Kernel / /
IndustryTerm
large matrix products / plate pliers potato rubber eraser scissors / multicore hardware / food cup food jar garlic glue stick greens / vision systems / 3D sensing technologies / synthetic vision systems / dry battery flashlight food bag food box food / natural language processing / filter bank size / food-box / pre-processing / image pre-processing / /
NaturalFeature
Random Forest / /
Organization
Defense Advanced Research Projects Agency / Robotics Institute / MIT / US government / Stanford University / Andrew Y. Ng Computer Science Department / Carnegie Mellon University / /
Person
A. Ess / Richard Socher / Kevin Jarrett / Stephen Miller / Andrew Y. Ng / Alex Teichman / Semi-Supervised Recursive Autoencoders / Adam Coates / Aurelio Ranzato / Yann LeCun / L. Van Gool / T. Tuytelaars / Ilya Sutskever / Andrew Maas / Brody Huval / /
Position
pitcher / Model Analysis / /
Product
C-7020 / /
ProgrammingLanguage
K / /
PublishedMedium
Machine Learning / Journal of Machine Learning Research / /
Convolutional-Recursive Deep Learning for 3D Object Classification Richard Socher, Brody Huval, Bharath Bhat, Christopher D. Manning, Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA