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红外光谱的预处理和定量算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  吴义凡
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红外光谱  定量分析  散射校正  变量选择  非线性最小二乘  
红外光谱基线校正算法研究 学位论文
, 智能化大厦三层第五会议室: 中国科学院自动化研究所, 2019
Authors:  韩权杰
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红外光谱,稀疏表示,最大相关熵准则,分位数回归,增广拉格朗日优化  
微装配机器人技能学习方法及应用研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  秦方博
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技能学习  微装配  显微视觉  图像特征提取  柔顺控制  
多源气象大数据精准降水模型与算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  唐永强
Adobe PDF(6468Kb)  |  Favorite  |  View/Download:6/0  |  Submit date:2019/06/20
精准降水,多源数据,连续条件随机场,多视角聚类,时间序列聚类  
脑电情绪识别中跨被试迁移学习方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  李劲鹏
Adobe PDF(4425Kb)  |  Favorite  |  View/Download:3/1  |  Submit date:2019/06/19
脑-机接口,情绪识别,深度学习,迁移学习,领域自适应,对抗训练  
Robotic skill learning for precision assembly with microscopic vision and force feedback 期刊论文
IEEE/ASME Transactions on Mechatronics, 2019, 期号: in press, 页码: in press
Authors:  Fangbo Qin;  De Xu;  Dapeng Zhang;  Ying Li
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Robotic Skill Learning  Precision Assembly  Learning From Demonstration  Microscopic Vision  Force Control  
An improved weighted multiplicative scatter correction algorithm with the use of variable selection: Application to near-infrared spectra 期刊论文
Chemometrics and Intelligent Laboratory Systems, 2019, 期号: 185, 页码: 114-121
Authors:  Yifan Wu;  Silong Peng;  Qiong Xie;  Quanjie Han;  Genwei Zhang;  Haigang Sun
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Multiplicative Scatter Correction  Weighted Least Squares  Variable Selection  Model Population Analysis  
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
Authors:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(2057Kb)  |  Favorite  |  View/Download:18/1  |  Submit date:2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition 期刊论文
IEEE Transactions Cybernetics, 2019, 期号: online, 页码: online
Authors:  Jinpeng Li;  Shuang Qiu;  Yuan-Yuan Shen;  Cheng-Lin Liu;  Huiguang He
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Brain-computer Interface, Emotion Recognition, Transfer Learning  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
Authors:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
View  |  Adobe PDF(1623Kb)  |  Favorite  |  View/Download:19/4  |  Submit date:2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning