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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  
基于视频的步态分析与识别关键问题研究 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:  张宇琪
Favorite  |  View/Download:0/0  |  Submit date:2019/06/18
步态分析与识别  多目标跟踪  特征学习  步态软生物特征  
Real-Time Multi-Scale Face Detector on Embedded Devices 期刊论文
Sensors, 2019, 卷号: 2019, 期号: 9, 页码: 2158
Authors:  Zhao X(赵旭);  Liang XQ(梁孝庆);  Zhao CY(赵朝阳);  Tang M(唐明);  Wang JQ(王金桥)
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人脸检测,目标检测,轻量级网络  
Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2019, 卷号: 13, 期号: 2, 页码: 330-342
Authors:  Zhou, Xiao-Hu;  Bian, Gui-Bin;  Xie, Xiao-Liang;  Hou, Zeng-Guang;  Qu, Xinkai;  Guan, Shaofeng
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Analysis framework  hidden Markov model  hierarchical classification framework  natural behaviors  percutaneous coronary intervention  
Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2019, 卷号: 13, 期号: 2, 页码: 330-342
Authors:  Zhou Xiao-Hu;  Bian Gui-Bin;  Xie Xiao-Liang;  Hou Zeng-Guang;  Qu Xin-Kai;  Guan Shao-Feng
View  |  Adobe PDF(2985Kb)  |  Favorite  |  View/Download:12/3  |  Submit date:2019/04/24
Natural behaviors, percutaneous coronary intervention, hidden Markov model, analysis framework, hierarchical classification framework.  
Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication 会议论文
, 美国圣地亚哥, 2019年2月20日
Authors:  Wei Jingwei;  Fu Sirui;  Zhang Shuaitong;  Zhang Jie;  Gu Dongsheng;  Li Xiaoqun;  Chen Xudong;  He Xiaofeng;  Yan Jianfeng;  Lu Ligong;  Tian Jie
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hepatocellular carcinoma  macrovascular invasion  prognosis  computed tomography  radiomics  prediction  
Single Shot Attention-Based Face Detector 会议论文
Lecture Notes in Computer Science, 乌鲁木齐, 2018
Authors:  Chubin Zhuang;  Shifeng Zhang;  Xiangyu Zhu;  Zhen Lei;  Stan Z. Li
Favorite  |  View/Download:25/0  |  Submit date:2019/01/10
A comprehensive study on gait biometrics via a joint CNN-based method 期刊论文
Pattern Recognition, 2019, 期号: 2019,93, 页码: 228-236
Authors:  Yuqi Zhang;  Yongzhen Huang;  Liang Wang;  Shiqi Yu
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Gait Recognition  Soft Biometrics  Joint Learning  Network Visualization  
Dynamic Feature Matching for Partial Face Recognition 期刊论文
IEEE Transactions on Image Processing, 2019, 期号: 2, 页码: 791-802
Authors:  He LX(何凌霄);  Li HQ(李海青);  Zhang Q(张琪);  Sun ZN(孙哲南)
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Fully Convolutional Network  Dynamic Feature Matching  Partial Face Recognition  
ESI计算机科学领域热点论文2018年第4期 其他
2018-11-20
Authors:  张桂英
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