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Search Results for '1http:/yann.lecun.com/exdb/mnist(a)imagesrankedthehighestinaestheticsbydcnn (b)imagesrankedthelowestinaestheticsbydcnnfigure7:imagesrankedthehighestandthelowestinaestheticsgeneratedbydcnn.diErence'
Figure1:Globalviewsandlocalviewsofanimage.Globalviewsarerepresentedbyn
tatyana-admore
Scene Parsing with Multiscale Feature Learning Purity Trees and Optimal Covers Clment
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Learning Convolutional Feature Hierarchies for Visual Recognition Koray Kavukcuoglu Pierre
liane-varnes
Invited Paper NeuFlow A Runtime Recongurable Dataow Processor for Vision Cl ement Farabet
marina-yarberry
Learning Hierarchical Features for Scene Labeling Cl ement Farabet Camille Couprie Laurent
debby-jeon
Structured Querying of Web Text: A Technical Challenge
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Yann Lacroix (sector analyst)
karlyn-bohler
Assignment 4: Deep Convolutional Neural Networks
stefany-barnette
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
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TENSORFLOW Team 2: Andrey, Daniel, John, Jonas, Ken
liane-varnes
Random Forest in
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Yann
lindy-dunigan
Yann Arthus Bertrand Altitude Projections of sea level rise Jonathan Gregory L
jane-oiler
The Manifold Tangent Classier Salah Rifai Yann N
alexa-scheidler
Dimensionality Reduction by Learning an Invariant Mapping
celsa-spraggs
ESN International
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OffRoad Obstacle oidance thr ough EndtoEnd Lear ning ann LeCun Courant Institute of Mathematical
tatyana-admore
ynkoo p Th eolog y of Lov e id ndi ff erence i ol
giovanna-bartolotta
TB Elimination
jane-oiler
Originally by Yann TiersenTranscribed by Michael JordanGrave ( h t t p
alida-meadow
Efcient Learning of Sparse Representations with an EnergyBased Model MarcAurelio Ranzato
alexa-scheidler
erence by a first lady in twenty-two years,
briana-ranney
Teradactyl: an Easy-to-Use Supercomputer
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Finite dierence method Principle derivatives in the pa
ellena-manuel
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