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Multi-column deep neural networks for image classification
by
Ciresan, D.
,
Meier, U.
,
Schmidhuber, J.
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Transfer learning for Latin and Chinese characters with Deep Neural Networks
by
Ciresan, D. C.
,
Meier, U.
,
Schmidhuber, J.
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Convolutional Neural Network Committees for Handwritten Character Classification
by
Ciresan, D. C.
,
Meier, U.
,
Gambardella, L. M.
,
Schmidhuber, J.
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Steel defect classification with Max-Pooling Convolutional Neural Networks
by
Masci, J.
,
Meier, U.
,
Ciresan, D.
,
Schmidhuber, J.
,
Fricout, G.
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Max-pooling convolutional neural networks for vision-based hand gesture recognition
by
Nagi, J.
,
Ducatelle, F.
,
Di Caro, G. A.
,
Ciresan, D.
,
Meier, U.
,
Giusti, A.
,
Nagi, F.
,
Schmidhuber, J.
,
Gambardella, L. M.
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A committee of neural networks for traffic sign classification
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Ciresan, D.
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Meier, U.
,
Masci, J.
,
Schmidhuber, J.
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Better Digit Recognition with a Committee of Simple Neural Nets
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Meier, U.
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Ciresan, D. C.
,
Gambardella, L. M.
,
Schmidhuber, J.
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Avoiding Segmentation in Multi-Digit Numeral String Recognition by Combining Single and Two-Digit Classifiers Trained without Negative Examples
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Ciresan, D.
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Off-line recognition of handwritten numeral strings composed from two-digits partially overlapped using Convolutional Neural Networks
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Ciresan, D.
,
Pescaru, D.
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Crowdsourcing the creation of image segmentation algorithms for connectomics
by
Arganda-Carreras, Ignacio
,
Turaga, Srinivas C
,
Berger, Daniel R
,
Cireşan, Dan
,
Giusti, Alessandro
,
Gambardella, Luca M
,
Schmidhuber, Jürgen
,
Laptev, Dmitry
,
Dwivedi, Sarvesh
,
Buhmann, Joachim M
,
Liu, Ting
,
Seyedhosseini, Mojtaba
,
Tasdizen, Tolga
,
Kamentsky, Lee
,
Burget, Radim
,
Uher, Vaclav
,
Tan, Xiao
,
Sun, Changming
,
Pham, Tuan D
,
Bas, Erhan
,
Uzunbas, Mustafa G
,
Cardona, Albert
,
Schindelin, Johannes
,
Seung, H Sebastian
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Frontiers in neuroanatomy
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A new low-stress high efficiency buck converter
by
Ciresan, A.
,
Lascu, D.
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