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Scene Recognition by Manifold Regularized Deep Learning Architecture
Scene Recognition by Manifold Regularized Deep Learning Architecture
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Scene Recognition by Manifold Regularized Deep Learning Architecture

Yuan, Yuan ; Mou, Lichao ; Lu, Xiaoqiang

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2222-2233

United States: IEEE

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2
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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3
DNA Fountain enables a robust and efficient storage architecture
DNA Fountain enables a robust and efficient storage architecture
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DNA Fountain enables a robust and efficient storage architecture

Erlich, Yaniv ; Zielinski, Dina

Science (American Association for the Advancement of Science), 2017-03, Vol.355 (6328), p.950-954 [Periódico revisado por pares]

United States: American Association for the Advancement of Science

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4
Efficient Online Learning Algorithms Based on LSTM Neural Networks
Efficient Online Learning Algorithms Based on LSTM Neural Networks
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Efficient Online Learning Algorithms Based on LSTM Neural Networks

Ergen, Tolga ; Kozat, Suleyman Serdar

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3772-3783

United States: IEEE

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5
Applications of Deep Learning and Reinforcement Learning to Biological Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
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Applications of Deep Learning and Reinforcement Learning to Biological Data

Mahmud, Mufti ; Kaiser, Mohammed Shamim ; Hussain, Amir ; Vassanelli, Stefano

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2063-2079

United States: IEEE

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6
Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing
Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing
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Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing

Han, Zhu ; Hong, Danfeng ; Gao, Lianru ; Roy, Swalpa Kumar ; Zhang, Bing ; Chanussot, Jocelyn

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5 [Periódico revisado por pares]

Piscataway: IEEE

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7
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs
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Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs

Liu, Shuanglong ; Fan, Hongxiang ; Ferianc, Martin ; Niu, Xinyu ; Shi, Huifeng ; Luk, Wayne

IEEE transaction on neural networks and learning systems, 2022-08, Vol.33 (8), p.3974-3987

United States: IEEE

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8
AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing
AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing
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AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing

Han, Zhu ; Hong, Danfeng ; Gao, Lianru ; Zhang, Bing ; Huang, Min ; Chanussot, Jocelyn

IEEE transactions on geoscience and remote sensing, 2022-01, Vol.60, p.1-1 [Periódico revisado por pares]

New York: IEEE

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9
DRINet for Medical Image Segmentation
DRINet for Medical Image Segmentation
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DRINet for Medical Image Segmentation

Chen, Liang ; Bentley, Paul ; Mori, Kensaku ; Misawa, Kazunari ; Fujiwara, Michitaka ; Rueckert, Daniel

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2453-2462

United States: IEEE

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10
System for Automated Geoscientific Analyses (SAGA) v. 2.1.4
System for Automated Geoscientific Analyses (SAGA) v. 2.1.4
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System for Automated Geoscientific Analyses (SAGA) v. 2.1.4

Conrad, O ; Bechtel, B ; Bock, M ; Dietrich, H ; Fischer, E ; Gerlitz, L ; Wehberg, J ; Wichmann, V ; Böhner, J

Geoscientific Model Development, 2015-07, Vol.8 (7), p.1991-2007 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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