TIME-SERIES REPRESENTATION LEARNING VIA RANDOM TIME WARPING

• 1. 一种深度尺度学习的时间序列规整方法 [P] . 中国专利： CN105955925A . 2016-09-21
• 2. 一种基于深度多任务表示学习的时间序列分类和检索方法 [P] . 中国专利： CN111008224A . 2020-04-14
• 3. TIME-SERIES LEARNING DEVICE, TIME-SERIES LEARNING METHOD, TIME-SERIES PREDICTION DEVICE, TIME-SERIES PREDICTION METHOD, AND PROGRAM [P] . US2021272453A1 . 2021-09-02

  机译： 时间序列学习设备，时间序列学习方法，时间序列预测设备，时间序列预测方法和程序

• 4. TIME-SERIES LEARNING SYSTEM, TIME-SERIES LEARNING METHOD, TIME-SERIES PREDICTION SYSTEM, TIME-SERIES PREDICTION METHOD, AND PROGRAM [P] . 日本专利： JP2020009124A . 2020-01-16

  机译： 时间序列学习系统，时间序列学习方法，时间序列预测系统，时间序列预测方法和程序

• 5. TIME-SERIES LEARNING DEVICE, TIME-SERIES LEARNING METHOD, TIME-SERIES PREDICTION DEVICE, TIME-SERIES PREDICTION METHOD, AND PROGRAM [P] . 世界知识产权组织专利： WO2020009246A1 . 2020-01-09

  机译： 时间序列学习设备，时间序列学习方法，时间序列预测设备，时间序列预测方法和程序

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• 5. Random Warping Series: A Random Features Method for Time-Series Embedding [J] . Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, JMLR: Workshop and Conference Proceedings . 2018,第2010期
• 6. Time-Series Information and Unsupervised Learning of Representations [J] . IEEE Transactions on Information Theory . 2020,第3期
• 7. Geometrical versus time-series representation of data in quantum control learning [J] . Journal of physics, A. Mathematical and theoretical . 2020,第19期
• 8. GRAIL: Efficient Time-Series Representation Learning [C] . John Paparrizos, Michael J. Franklin International conference on very large data bases . 2019
• 9. Machine Learning Model Time-Series Clustering for Energy Optimized Virtual Machine Placement Using Time-Series Performance Data [D] . Kellogg, Tad. 2021
• 10. Data Augmentation with Suboptimal Warping for Time-Series Classification [O] . Krzysztof Kamycki, Tomasz Kapuscinski, Mariusz Oszust 2020
• 11. Deep Canonical Time Warping for simultaneous alignment and representation learning of sequences [O] . Trigeorgis, G., Nicolaou, M. A., Schuller, B., 2017

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• 2. 基于分段线性表示的时间序列动态时间弯曲算法研究 [C] . 武真 ,喻斌 . 2006年全国第十届企业信息化与工业工程学术年会 . 2006
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