机构

• 自动化研究所 [2]
• 计算技术研究所 [1]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2022 [1]
• 2019 [1]
• 2018 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Deep Learning for Adverse Event Detection From Web Search 期刊论文  OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 6, 页码: 2681-2695 作者:  Ahmad, Faizan;  Abbasi, Ahmed;  Kitchens, Brent;  Adjeroh, Donald;  Zeng, Daniel   |  收藏  |  浏览/下载：67/0  |  提交时间：2022/06/10 Event detection  Drugs  Deep learning  Twitter  Data mining  Context modeling  Automotive engineering  Adverse event detection  search queries  deep learning  auto encoders  query embeddings  user modeling   SkeletonNet: A Hybrid Network With a Skeleton-Embedding Process for Multi-View Image Representation Learning 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 11, 页码: 2916-2929 作者:  Yang, Shijie;  Li, Liang;  Wang, Shuhui;  Zhang, Weigang;  Huang, Qingming   |  收藏  |  浏览/下载：51/0  |  提交时间：2020/12/10 Semantics  Correlation  Visualization  Skeleton  Matrix decomposition  Kernel  Laplace equations  Unsupervised multi-view subspace learning  semantic inconsistency  tensor factorization  deep auto-encoders   A novel electrocardiogram arrhythmia classification method based on stacked sparse auto-encoders and softmax regression 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 卷号: 9, 期号: 10, 页码: 1733-1740 作者:  Yang, Jianli;  Bai, Yang;  Lin, Feng;  Liu, Ming;  Hou, Zengguang   |  收藏  |  浏览/下载：45/0  |  提交时间：2019/12/16 Stacked Sparse Auto-encoders  Ecg Arrhythmia Classification  Feature Extraction  Softmax Regression   Auto-detection system of photoelectric encoder based on DSP (EI CONFERENCE) 会议论文  OAI收割 2010 2nd International Conference on Industrial and Information Systems, IIS 2010, July 10, 2010 - July 11, 2010, Dalian, China 作者:  Wan Q.-H.;  Qi L.-L.;  Liang L.-H.;  Lu X.-R.;  Du Y.-C. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 To improve the automatic detection efficiency of photoelectric encoder  an auto-detection system of photoelectric encoder is designed using DSP (TMS320F2812) as the core device. A 21-bit high accuracy photoelectric encoder is used as the angle standard. It is connected to the detected photoelectric encoder coaxially. They will rotate synchronously under the driving of electric motor. Data acquisition and processing system collects the angular data of the two photoelectric encoders at the same angular position and calculates the angular error of detected photoelectric encoder. Then the data is put into computer. The computer will display the data error. The result of experiment shows that the system could detect encoder whose bit-number below 19  the detecting person could be reduced to one and the detecting speed could be increased to 8-10 times. 2010 IEEE.