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	MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification 期刊论文 OAI收割 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 卷号: 27, 期号: 12, 页码: 5767-5778 作者: Miao, Yifan; Jiang, Wanqing; Su, Nuo; Shan, Jun; Jiang, Tianzi \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2024/03/26 Electroencephalography Feature extraction Task analysis Support vector machines Recording Motion pictures Brain modeling EEG biometric across mental states across time deep learning domain adaptation
	Adversarial Heterogeneous Graph Neural Network for Robust Recommendation 期刊论文 OAI收割 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 12 作者: Sang, Lei; Xu, Min; Qian, Shengsheng; Wu, Xindong \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/11/17 Perturbation methods Motion pictures Training Graph neural networks Robustness Semantics Predictive models Adversarial training (AT) graph neural network (GNN) heterogeneous graph recommendation
	Characterizing and Understanding HGNNs on GPUs 期刊论文 OAI收割 IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 2, 页码: 69-72 作者: Yan, Mingyu; Zou, Mo; Yang, Xiaocheng; Li, Wenming; Ye, Xiaochun \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2022/12/07 Kernel Semantics Aggregates Mercury (metals) Motion pictures Graphics processing units Electric breakdown Heterogeneous graph neural networks GNNs characterization execution semantic execution pattern
	Adversarial Multimodal Network for Movie Story Question Answering 期刊论文 OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1744-1756 作者: Yuan, Zhaoquan; Sun, Siyuan; Duan, Lixin; Li, Changsheng; Wu, Xiao \| 收藏 \| 浏览/下载：38/0 \| 提交时间：2021/08/15 Knowledge discovery Motion pictures Visualization Task analysis Generators Gallium nitride Natural languages Movie question answering adversarial network multimodal understanding
	Design of motion compensation mechanism of satellite remote sensing camera (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China Gu S.; Yan Y.; Xu K.; Jin G. 收藏 \| 浏览/下载：47/0 \| 提交时间：2013/03/25 With the development of aerospace remote sensing technology the ground resolution of remote sensing camera enhances continuously. Since there is relative motion between camera and ground target when taking pictures the target image recorded in recording media is moved and blurred. In order to enhance the imaging quality and resolution of the camera the image motion had to be compensated. In order to abate the effect of image motion to image quality of space camera and improve the resolution of the camera the compensation method of image motion to space camera is researched. First the reason of producing drift angle and adjustment principle are analyzed in this paper. This paper introduce the composition and transmission principle of image motion compensation mechanism. Second the system adopts 80C31 as controller of drift angle and adopts stepping motor for actuators and adopts absolute photoelectric encoder as the drift Angle measuring element. Then the control mathematical model of the image motion compensation mechanism are deduced and it achieve the closed-loop control of the drift angle position. At the last this paper analyses the transmission precision of the mechanism. Through the experiment we measured the actual precision of the image motion compensation mechanism and compared with the theoretical analysis. There are two major contributions in this paper. First the traditional image motion compensation mechanism is big volume and quality heavy. This has not fit for the development trend of space camera miniaturization and lightweight. But if reduce the volume and quality of mechanism it will bring adverse effects for the precision and stiffness of mechanism. For this problem This paper designed a image motion compensation that have some advantages such as small size light weight at the same time high precision stiffness and so on. This image motion compensation can be applicable to the small optics cameras with high resolution. Second the traditional mechanism control need to corrected fitting and iterative for the control formula of mechanism. Only in this way we can get the optimal control mathematical model. This paper has high precision of the control formula derived. It can achieve the high precision control without fitting It also simplify the difficulty of control mathematical model establishment. This paper designed the range of adjusting of image motion compensation mechanism between -5 +5. Based on choosing-5 -4 -3 -2 -1 0 +1 +2 +3 +4 +4 as the expectation value of the imaginary drift angle we get ten groups of the fact data in adjusting drift angle measured. The test results show that the precision of the drift angle control system can be achieved in 1. It can meet the system requirements that the precision of the control system is less than 3' and it can achieve the high-precision image motion compensation. 2011 SPIE.
	Improved measurement methods for motion picture resolution of LCD 会议论文 OAI收割 Beijing, China, November 12, 2007 - November 14, 2007 作者: Liu, Fang; Liang, Xi Guang; Zhao, Yue Jin; Wang, Li Chang \| 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/06/16 Cameras - Digital television - Television broadcasting - Motion pictures - Tracking (position)