中国科学院机构知识库网格系统: 检索

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

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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

SiamOAN: Siamese object-aware network for real-time target tracking 期刊论文 OAI收割
Neurocomputing, 2022, 卷号: 471, 页码: 161-174
作者: Wei BB(魏冰冰); Chen HY(陈宏宇); Ding QH(丁庆海); Luo HB(罗海波)

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收藏 | 浏览/下载：34/0 | 提交时间：2021/12/20

Siamese-based tracking Global context Background interference Object tracking

Background-free latent fingerprint imaging based on nanocrystals with long-lived luminescence and pH-guided recognition 期刊论文 OAI收割
NANO RESEARCH, 2018, 卷号: 11, 期号: 12, 页码: 6167-6176
作者: Li, Zhiheng; Wang, Qian; Wang, Yingqian; Ma, Qinqin; Wang, Jie

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收藏 | 浏览/下载：57/0 | 提交时间：2019/04/03

Fingerprint Persistent Luminescence Background Interference Nanoparticle Imaging

Electrospray ionization in concentrated acetonitrile vapor improves the performance of mass spectrometry for proteomic analyses 期刊论文 OAI收割
JOURNAL OF CHROMATOGRAPHY A, 2017, 卷号: 1483, 页码: 101-109
作者: Zou, Hanfa; Chen, Jin; Wang, Fangjun

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收藏 | 浏览/下载：26/0 | 提交时间：2019/06/20

Acetonitrile Background Interference Mass Spectrometry Electrospray Ionization

Interference effect on resonance studies in searches of heavy particles 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF MODERN PHYSICS A, 2016, 卷号: 31, 期号: 14-15, 页码: 1650083
作者: Bian, LG (reprint author), Chinese Acad Sci, State Key Lab Theoret Phys, Inst Theoret Phys, Beijing 100190, Peoples R China.; Bian, LG (reprint author), Chinese Acad Sci, Kavli Inst Theoret Phys China, Inst Theoret Phys, Beijing 100190, Peoples R China.; Bian, LG; Liu, D; Shu, J

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收藏 | 浏览/下载：27/0 | 提交时间：2017/10/13

Signal-background Interference w ' Boson Lhc Run Ii Heavy Particle Searches

Eight-neighborhood based background modeling (EI CONFERENCE) 会议论文 OAI收割
2012 2nd International Conference on Materials Science and Information Technology, MSIT 2012, August 24, 2012 - August 26, 2012, Xi'an, Shaan, China
Yan L.; Ming D.; Lei J.

收藏 | 浏览/下载：11/0 | 提交时间：2013/03/25

In order to solve the Gaussian kernel density-based background modeling we propose a background modeling method based on an 8-neighborhood pixels sample set. In this method we use the target pixel and its surrounding 8-neighborhood pixels to analyze whether it is included in the background or in the foreground sample space. Experimental results show that the method can judge the object as the background interference caused by the cyclical movement. By practical verification the algorithm of the background modeling can full meet the requirements of the target detection algorithm. (2012) Trans Tech Publications Switzerland.

Highly effective protein detection for avidin-biotin system based on colloidal photonic crystals enhanced fluoroimmunoassay 期刊论文 OAI收割
BIOSENSORS & BIOELECTRONICS, 2011, 卷号: 26, 期号: 5, 页码: 2165-2170
作者: Shen, Weizhi; Li, Mingzhu; Xu, Liang; Wang, Shutao; Jiang, Lei

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收藏 | 浏览/下载：26/0 | 提交时间：2019/04/09

Photonic Crystal Fluoroimmunoassay Protein Detection Fluorescence Enhancement Background Interference

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：59/0 | 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).

Determination of selenium in biological tissue samples rich in phosphorus using electrothermal atomization with Zeeman-effect background correction and (NH4)(3)RhCl6 plus citric acid as a mixed chemical modifier 期刊论文 OAI收割
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, 1998, 卷号: 53, 期号: 10, 页码: 1381-1389
作者: Li, M; Ni, ZM; Rao, Z

收藏 | 浏览/下载：17/0 | 提交时间：2015/11/27

Se biological tissue electrothermal atomic absorption spectrometry rhodium modifier Zeeman background correction phosphate interference

Determination of selenium in biological tissue samples rich in phosphorus using electrothermal atomization with Zeeman-effect background correction and (NH4)(3)RhCl6 plus citric acid as a mixed chemical modifier 会议论文 OAI收割
7th Beijing Conference on Instrumental Analysis (BCEIA), SHANGHAI, PEOPLES R CHINA, OCT, 1997
作者: Li, M; Ni, ZM; Rao, Z

收藏 | 浏览/下载：13/0 | 提交时间：2016/01/19

Se biological tissue electrothermal atomic absorption spectrometry rhodium modifier Zeeman background correction phosphate interference