中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共4条，第1-4条

帮助

条数/页：排序方式：
	Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization 期刊论文 OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15896-15911 作者: Chen, Mengyuan; Gao, Junyu; Xu, Changsheng \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2024/03/26 Uncertainty Background noise Task analysis Location awareness Measurement uncertainty Interference Predictive models Weakly-supervised temporal action localization evidential deep learning uncertainty estimation
	Research on moving target tracking scene simulation technology under battlefield complicated environment based on Vega (EI CONFERENCE) 会议论文 OAI收割 4th International Congress on Image and Signal Processing, CISP 2011, October 15, 2011 - October 17, 2011, Shanghai, China Wang S.; Wei Y.-J. 收藏 \| 浏览/下载：14/0 \| 提交时间：2013/03/25 In order to better simulate the real environment of the battlefield which has moving-target and the complicated background and to simulate the tracking process of the target with 3d's simulation. This paper introduce a development platform of the Vega 3d simulation software and how to use the Vega to simulate the complex battlefield background which has the sky the explosion effects in the ground the fly parameters of fighter planes. It reappear a complete process which contains capturing target and tracking target. Experiment indicate that the Vega development platform is convenient and fast and can achieved the design parameters for the task's demands. It also has many advantages that contains repeating the performance of real experiment and reducing the expenses of the military experiment. 2011 IEEE.
	Adaptive deformation estimation of moving target by weight image analysis (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China Bai X.-G.; Dai M. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 An algorithm based on weight image analysis is proposed for adaptive deformation estimation of moving target in mean-shift tracking method. At the first we get the weight image from the target candidate region. Then we analyze the differences between the object and background. According to that the area estimation of the target can be converted into the image segmentation task. To realize the adaptive segmentation and estimation we define the threshold as the maximum variance between object and background. Combining the estimated area and covariance matrix we can estimate the width height and orientation of the object. The experimental results on three representative video sequences validate its robustness to the deformable estimation of the targets. 2010 IEEE.
	Stabilities of negative correlations between blood oxygen level-dependent signals associated with sensory and motor cortices 期刊论文 OAI收割 HUMAN BRAIN MAPPING, 2007, 卷号: 28, 期号: 7, 页码: 681-690 作者: Tian, Lixia; Jiang, Tianzi; Liang, Meng; Li, Xiaobo; He, Yong 收藏 \| 浏览/下载：21/0 \| 提交时间：2015/11/08 functional connectivity positive correlation resting state task-background