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Erratum for the Research Article "Parkinson's VPS35[D620N] mutation induces LRRK2-mediated lysosomal association of RILPL1 and TMEM55B" by P. Pal <i>et al</i>.

Sci Adv
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Extended probabilistic data association algorithm

2012 First National Conference for Engineering Sciences (FNCES 2012), 2012
[Purpos In order to improve the accuracy of target tracking and reduce losing rate of target in the multiple target tracking, a new algorithm called Extended Probabilistic Data Association (EPDA) is presented in this paper. [Metho This paper defines joint association event based on the number of target and puts forward the EPDA for target tracking ...
Wan Li Xu, Zhun Liu, Jun Hui Liu
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Data association and soft data streams

2010 13th International Conference on Information Fusion, 2010
This paper discusses the challenges of and possible methods for data association in the domain of counterinsurgency where “soft/linguistic” data is an important input data type. An overview of the processing operations from input to construction of fused estimates is described.
M Hannigan, D McMaster, James Llinas, K Sambhoos   +3 more
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Mining association rules from quantitative data☆

Intelligent Data Analysis, 1999
Data-mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. Most conventional data-mining algorithms identify the relationships among transactions using binary values, however, transactions with quantitative values are commonly seen in real-world applications.
Hong, Tzung-Pei, Kuo, Chan-Sheng, Chi, Sheng-Chai   +2 more
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Combinatorial Data Analysis: Association and Partial Association

Psychometrika, 1985
A combinatorial data analysis strategy is reviewed that is designed to compare two arbitrary measures of proximity defined between the objects from some set. Based on a particular cross-product definition of correspondence between these two numerically specified notions of proximity (typically represented in the form of matrices), extensions are then ...
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Density deconvolution with associated stationary data

Applications of Mathematics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thuy, Le Thi Hong, Phuong, Cao Xuan
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Distributed Data Association

2015
In this chapter, we address the association of features observed by the robots in a network with limited communications . At every time instant, each robot can only exchange data with a subset of the robot team that we call its neighbors . Initially, each robot solves a local data association with each of its neighbors.
Rosario Aragues, Carlos Sagues, Youcef Mezouar   +2 more
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Data Visualization Association Algorithm Based on Spatio-Temporal Association Big Data

2020
This paper mainly studies and realizes the spatio-temporal multidimensional visualization under the big data environment. By analyzing the spatiotemporal correlation of wireless sensor networks under the random large-scale dense deployment of sensor nodes, ensure that there is no monitoring blind spot in the area, the accuracy of data sampling and the ...
Zhang Zhang, Liang Tian
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Fast data association algorithm

Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527), 2003
The static problem of associating measurements from three bearing-only sensors in the presence of clutter, missed detection, and an unknown number of targets is presented in this paper. The main feature of our algorithm is to estimate the target location via the intensity of space intersection.
null Ming-Hui Wang, null Zhi-Sheng You, null Ying-Ning Peng   +2 more
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Energy Association Filter for Online Data Association with Missing Data

2008
Data association problem is of crucial importance to improve online object tracking performance in many difficult visual environments. Usually, association effectiveness is based on prior information and observation category. However, some problems can arise when objects are quite similar.
El Abed, Abir, Dubuisson, Séverine, Béréziat, Dominique   +2 more
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