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浏览/检索结果: 共15条,第1-10条 帮助

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Probabilistic Automata-Based Method for Enhancing Performance of Deep Reinforcement Learning Systems 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 11, 页码: 2327-2339
作者:  
Min Yang;  Guanjun Liu;  Ziyuan Zhou;  Jiacun Wang
  |  收藏  |  浏览/下载:2/0  |  提交时间:2024/10/09
Abnormal performance monitoring but intact response inhibition in sensation seeking 期刊论文  OAI收割
PSYCHOPHYSIOLOGY, 2019, 卷号: 56, 期号: 8, 页码: 11
作者:  
Zheng, Ya;  Mei, Shuting;  Yi, Wei;  Li, Qi;  Liu, Xun
  |  收藏  |  浏览/下载:57/0  |  提交时间:2019/09/10
土壤源地源热泵系统能效测试分析 期刊论文  OAI收割
制冷与空调(北京), 2017, 卷号: 17, 期号: 8, 页码: 87-92
作者:  
龚宇烈;  骆超;  刘广平;  邱泽晶;  郑鑫
  |  收藏  |  浏览/下载:35/0  |  提交时间:2018/12/21
土壤源地源热泵系统能效测试分析 期刊论文  OAI收割
制冷与空调(北京), 2017, 卷号: 17, 期号: 8, 页码: 87-92
作者:  
龚宇烈;  骆超;  刘广平;  邱泽晶;  郑鑫
  |  收藏  |  浏览/下载:34/0  |  提交时间:2018/12/21
Development of polyurethane-based passive samplers for ambient monitoring of urban-use insecticides in water 期刊论文  OAI收割
ENVIRONMENTAL POLLUTION, 2017, 卷号: 231, 期号: 0, 页码: 1412-1420
作者:  
Gan, Jay;  Liao, Chunyang;  Richards, Jaben;  Taylor, Allison R.
  |  收藏  |  浏览/下载:31/0  |  提交时间:2018/07/26
FD4C: Automatic Fault Diagnosis Framework for Web Applications in Cloud Computing 期刊论文  OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 1, 页码: 61-75
Wang, T; Zhang, WB; Ye, CY; Wei, J; Zhong, H; Huang, T
  |  收藏  |  浏览/下载:25/0  |  提交时间:2016/12/13
A stratified optimization method for a multivariate marine environmental monitoring network in the Yangtze River estuary and its adjacent sea SCI/SSCI论文  OAI收割
2015
作者:  
Gao B. B.;  Wang, J. F.;  Fan, H. M.;  Xu, K.;  Hu, M. G.
收藏  |  浏览/下载:24/0  |  提交时间:2015/12/09
Simultaneous Determination of Anthraquinone Derivatives in Radix et Rhizoma Rhei-based Medicines by Ultra-Performance LC-ESCI-MS/MS Multiple Reaction Monitoring 期刊论文  OAI收割
Acta Chromatographica, 2014, 卷号: 26, 期号: 2, 页码: 229-242
作者:  
Wang GY(王国英);  Shi YP(师彦平);  Shi YP(师彦平)
收藏  |  浏览/下载:35/0  |  提交时间:2014/12/11
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Sun H.;  Han H.-X.;  Sun H.
收藏  |  浏览/下载:56/0  |  提交时间:2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring  precision  and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection  the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure  but in order to capture the change of the state space  it need a certain amount of particles to ensure samples is enough  and this number will increase in accompany with dimension and increase exponentially  this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"  we expand the classic Mean Shift tracking framework.Based on the previous perspective  we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis  Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism  used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation  and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information  this approach also inhibit interference from the background  ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
作者:  
Zhang Y.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance  the system not only works for single target  if the monitor is appointed for human face tracking  but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance  the best system appears to be concentrating on human face only and all the others considered being background  the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE.  the background regions needn't to be recorded in detail. For this purpose  this letter presents a real-time foveate storage system  which efficiently represents the video image in log-polar coordinates  with the foveate point centered on the target