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11Going Deeper with Convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. (2014)cite arxiv:1409.4842.
6 years ago by @alrigazzi
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large-scale
deep
neural
dl
networks
large-scaledeepneuraldlnetworks
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2Detecting Vanishing Points using Global Image Context in a Non-Manhattan World
M. Zhai, S. Workman, and N. Jacobs. (2016)cite arxiv:1608.05684Comment: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016.
6 years ago by @kluger
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horizon
estimation
line
point
cnn
detection
deep
neural
learning
vanishing
network
horizonestimationlinepointcnndetectiondeepneurallearningvanishingnetwork
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3Horizon Lines in the Wild
S. Workman, M. Zhai, and N. Jacobs. (2016)cite arxiv:1604.02129Comment: British Machine Vision Conference (BMVC) 2016.
6 years ago by @kluger
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horizon
estimation
line
cnn
deep
neural
learning
network
horizonestimationlinecnndeepneurallearningnetwork
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1Grice subtalar arthrodesis followed to skeletal maturity.
S. Scott, P. Janes, and P. Stevens. J Pediatr Orthop, 8 (2): 176--183 (1988)
10 years ago by @ar0berts
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Child;
Humans;
Tube
Joint;
Cerebral
Defects;
Arthrodesis;
Foot
Nerves;
Preschool;
Retrospective
Child,
Ankle
Studies
Infant;
Deformities;
Peripheral
Palsy;
Poliomyelitis;
Clubfoot;
Neural
Child;Humans;TubeJoint;CerebralDefects;Arthrodesis;FootNerves;Preschool;RetrospectiveChild,AnkleStudiesInfant;Deformities;PeripheralPalsy;Poliomyelitis;Clubfoot;Neural
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1Folate and vitamin B12
J. Scott. Proc Nutr Soc, (1999)
14 years ago by @huiyangsfsu
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CVD
development
folate
CAT
CAT-NGX-folate
neural
CVDdevelopmentfolateCATCAT-NGX-folateneural
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2Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks
A. Motsinger, L. Hahn, S. Dudek, K. Ryckman, and M. Ritchie. GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page 947--948. Seattle, Washington, USA, ACM Press, (8-12 July 2006)
17 years ago by @brazovayeye
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genetic
algorithms,
evolution,
selection
ANN,
programming:
networks,
neural
crossover,
nets,
Poster,
grammatical
geneticalgorithms,evolution,selectionANN,programming:networks,neuralcrossover,nets,Poster,grammatical
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1Automatic rainfall recharge model induction by evolutionary computational intelligence
Y. Hong, P. White, and D. Scott. Water Resources Research, (2005)
17 years ago by @brazovayeye
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genetic
rainfall
learning;
Estimation
automatic
model,
0555
induction,
intelligence,
networks,
machine
1829
1805
evolutionary
New
1847
Neural
Canterbury
Plains,
soil
Groundwater
Zealand,
hydrology;
algorithms,
balance
forecasting;
recharge
moisture
programming,
and
Hydrology:
logic,
Modelling
model
1816
Geophysics:
computational
Computational
fuzzy
geneticrainfalllearning;Estimationautomaticmodel,0555induction,intelligence,networks,machine18291805evolutionaryNew1847NeuralCanterburyPlains,soilGroundwaterZealand,hydrology;algorithms,balanceforecasting;rechargemoistureprogramming,andHydrology:logic,Modellingmodel1816Geophysics:computationalComputationalfuzzy
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1Chemometric discrimination of unfractionated plant extracts analyzed by electrospray mass spectrometry
R. Goodacre, E. York, J. Heald, and I. Scott. Phytochemistry, 62 (6): 859--863 (March 2003)
17 years ago by @brazovayeye
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Morning
mass
genetic
Convolvulaceae,
nil,
spectrometry,
ionization
Japanese
Metabolic
Electrospray
algorithms,
Glory,
networks,
Pharbitis
programming,
fingerprinting
Neural
MorningmassgeneticConvolvulaceae,nil,spectrometry,ionizationJapaneseMetabolicElectrosprayalgorithms,Glory,networks,Pharbitisprogramming,fingerprintingNeural
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2The Importance of Representing Cognitive Processes in Multi-agent Models
B. Edmonds, and S. Moss. Artificial Neural Networks - ICANN 2001 : International Conference, Proceedings, volume 2130 of Lecture Notes in Computer Science, page 759--766. Vienna, Austria, (August 2001)
17 years ago by @brazovayeye
show all tags
genetic
neural
modelling,
agent,
market,
explanation,
algorithms,
representation,
economics,
negotiation
prediction,
programming,
cognition,
methodology,
net,
stock
geneticneuralmodelling,agent,market,explanation,algorithms,representation,economics,negotiationprediction,programming,cognition,methodology,net,stock
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publications (hide)9
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