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Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extraction Niko S¨ underhauf, Chris McCool, Ben Upcroft, and Tristan Perez Agricultural Robotics Program, Queensland University of Techno
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Document Date: 2014-07-25 04:39:26


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Company

IBM / Convolutional Neural Networks / Neural Information Processing Systems / Curran Associates Inc. / Grained Plant Classification Using Convolutional Neural Networks / /

Country

France / /

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Event

Environmental Issue / /

Facility

Queensland University of Technology / /

IndustryTerm

green-house-gas emissions / food security / large networks / crop management / Robot technology / food / energy / /

Organization

Department of Agriculture Fisheries and Forestry / Federal Government / Queensland University of Technology / Queensland government / /

Person

Pierre Sermanet / Pierre Bonnet / Josephine Sullivan / David Hall / Louis Wehenkel / Xiang Zhang / Oriol Vinyals / George E Dahl / Ross Girshick / John S Denker / Damien Ernst / Geoffrey E. Hinton / Concetto Spampinato / Alex Krizhevsky / Michael Mathieu / Judy Hoffman / Ali Sharif Razavian / Geoffrey E Hinton / Daniel Barth´el / Yangqing Jia / Rob Fergus / Nitish Srivastava / Trevor Darrell / Eric Tzeng / Bob Fisher / Andreas Rauber / Lawrence D Jackel / Donnie Henderson / David Eigen / Jeff Donahue / Yann LeCun / Stefan Carlsson / Feras Dayoub / Ruslan R Salakhutdinov / Ning Zhang / Wayne Hubbard / Willem-Pier Vellinga / Pierre Geurts / Richard E Howard / Jitendra Malik / Alexis Joly / Ilya Sutskever / Tara N Sainath / Hossein Azizpour / Bernhard Boser / Ben Upcroft / Chris McCool / /

Position

generic feature extractor / feature extractor / http /

Product

LifeCLEF / /

ProgrammingLanguage

Python / /

ProvinceOrState

Queensland / /

Technology

Robot technology / neural network / Machine learning / /

URL

http /

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