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Man vs. Computer: Benchmarking Machine Learning Algorithms for Traffic Sign Recognition

机译：人与计算机：交通标志识别的基准机器学习算法

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J. Stallkampa; M. Schlipsinga; J. Salmena; C. Igelb;
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年度 2016
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1. Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition [J] . J. Stallkamp, M. Schlipsing, J. Salmen, Neural Networks: The Official Journal of the International Neural Network Society . 2012,第Auga期

机译：人与计算机：用于交通标志识别的基准机器学习算法
2. A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning [J] . Srajer Filip, Kukelova Zuzana, Fitzgibbon Andrew Optimization methods & software . 2018,第4a6期

机译：计算机视觉与机器学习中一些问题的选定算法分化工具的基准
3. A Novel Genetically Optimized Convolutional Neural Network for Traffic Sign Recognition: A New Benchmark on Belgium and Chinese Traffic Sign Datasets [J] . Jain Arpan, Mishra Apoorva, Shukla Anupam, Neural processing letters . 2019,第3期

机译：交通标志识别新型遗传优化的卷积神经网络：比利时和中国交通标志数据集的新基准
4. Traffic Sign Recognition: Benchmark of credal object association algorithms [C] . Lauffenburger Jean-Philippe, Daniel Jeremie, Boumediene Mohammed . 2014

机译：交通标志识别：credal对象关联算法的基准
5. Embedded system design for traffic sign recognition using machine learning algorithms. [D] . Han, Yan. 2016

机译：使用机器学习算法进行交通标志识别的嵌入式系统设计。
6. Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief [O] . P.K. Douglas, Sam Harris, Alan Yuille, -1

机译：机器学习算法的性能比较和FMRI解码信仰与难以置信的独立组件数量
7. Man vs. computer: benchmarking machine learning algorithms for traffic sign recognition [O] . Stallkamp Johannes, Schlipsing Marc, Salmen Jan, 2012

机译：人与计算机：基准测试用于交通标志识别的机器学习算法

Man vs. Computer: Benchmarking Machine Learning Algorithms for Traffic Sign Recognition

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