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北京大学 [17]

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	The unanticipated state recognition model of the large telescope drive system 会议论文 California, United States, 2020-12-13 作者: Li Y(李运); Yang SH(杨世海); Wu JJ(吴佳佳); Gu BZ(顾伯忠) 收藏 \| 浏览/下载：4/0 \| 提交时间：2021/03/30 Telescope Drive System Unanticipated State Recognition
	A Survey on Human Behavior Recognition Using Channel State Information 期刊论文 IEEE Access, 2019, 卷号: 7, 页码: 155986-156024 作者: Wang Z.; Jiang K.; Hou Y.; Dou W.; Zhang C. 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/11 Channel state information (CSI) deep learning human behavior recognition model pattern WiFi
	Wi-Multi: A Three-Phase System for Multiple Human Activity Recognition With Commercial WiFi Devices 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2019, 卷号: Vol.6 No.4, 页码: 7293-7304 作者: Feng, CH; Arshad, S; Zhou, SW; Cao, D; Liu, YH 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/17 Activity recognition channel state information (CSI) recurrent neural network (RNN)
	WiFiMap plus : High-Level Indoor Semantic Inference With WiFi Human Activity and Environment 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: Vol.68 No.8, 页码: 7890-7903 作者: Zhang, W; Zhou, SW; Yang, L; Ou, L; Xiao, Z 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/17 Activity recognition channel state information indoor environment detection indoor semantic inference
	A Survey on CSI-Based Human Behavior Recognition in Through-the-Wall Scenario 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 78772-78793 作者: Wang, Zhengjie; Jiang, Kangkang; Hou, Yushan; Huang, Zehua; Dou, Wenwen 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/11 Channel state information (CSI) device-free through-the-wall human behavior recognition WiFi
	Race Classification from Face using Deep Convolutional Neural Networks 会议论文 ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics 作者: Wu, X.; Yuan, P.; Wang, T.; Gao, D.; Cai, Y. 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/30 Convolution Database systems Deep neural networks Face recognition Learning systems Machine learning Neural networks Robotics Search engines Branch structure Convolutional neural network Face alignment Machine learning methods Merge networks Multi-scale features Race classification State of the art Classification (of information)
	Memory network for tracking with deep regression 会议论文 IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018, 2018-12-12 作者: Deng, Y.; Zheng, H. 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/30 Image recognition Object recognition Regression analysis Target tracking Competitive performance Memory network regression stacked LSTM State-of-the-art performance Tracking by detections Visual object tracking Visual Tracking Long short-term memory
	Occlusion object detection via collaborative sensing deep convolution network 会议论文 Nanjing, China, November 26, 2017 - November 29, 2017 作者: Li, Ce; Zhao, Xinyu; Liu, Hao; Xiao, Limei 收藏 \| 浏览/下载：20/0 \| 提交时间：2020/11/15 Chemical detection Convolution Feature extraction Object recognition CO detection Collaborative detection Collaborative sensing collaboretive sensing Joint detection Missing features Precise positioning State-of-the-art methods
	In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks 期刊论文 ISA TRANSACTIONS, 2018, 卷号: 81, 页码: 96-104 作者: Ye, Dongsen; Fuh, Jerry Ying Hsi; Zhang, Yingjie; Hong, Geok Soon; Zhu, Kunpeng 收藏 \| 浏览/下载：62/0 \| 提交时间：2019/01/11 Deep belief network Selective laser melting Melted state recognition Plume and patter Process monitoring
	Multi-view gait recognition method based on RBF network 会议论文作者: Qiu, Yaru; Song, Yonghong 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/19 Gait recognition Human identification Invariant features Joint modeling Projection matrix Real applications State of the art View invariants

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