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SupportNet: a novel incremental learning framework through deep learning and support data

机译：支持网络：通过深度学习和支持数据进行新的增量学习框架

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Yu Li; Zhongxiao Li; Lizhong Ding; Yuhui Hu; Wei Chen; Xin Gao;
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年度 2018
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1. Online fault diagnosis method based on Incremental Support Vector Data Description and Extreme Learning Machine with incremental output structure [J] . Gang Yin, Ying-Tang Zhang, Zhi-Ning Li, Neurocomputing . 2014,第mara27期

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2. Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey [J] . Nguyen Giang, Dlugolinsky Stefan, Bobak Martin, Artificial Intelligence Review: An International Science and Engineering Journal . 2019,第1期

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3. Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning [J] . Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology . 2020,第2期

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4. Is Using Deep Learning Frameworks Free? Characterizing Technical Debt in Deep Learning Frameworks [C] . Jiakun Liu, Qiao Huang, Xin Xia, IEEE/ACM International Conference on Software Engineering: Software Engineering in Society . 2020

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5. DL-DI: A Deep Learning Framework for Distributed, Incremental Image Classification. [D] . Maddula, Manikanta. 2017

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6. Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation Photometric Conversion or Transfer Learning [O] . Vikash Gupta, Mutlu Demirer, Matthew Bigelow, 2020

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SupportNet: a novel incremental learning framework through deep learning and support data

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