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Information Fusion via the Wasserstein Barycenter in the Space of Probability Measures: Direct Fusion of Empirical Measures and Gaussian Fusion with Unknown Correlation.

机译：在概率测度空间中通过Wasserstein重心信息融合：经验测度与高斯融合的直接融合与未知相关性。

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作者
Bishop, A. N.;
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年度 2014
页码 1-7
总页数 7
原文格式 PDF
正文语种 eng
中图分类
关键词
Data fusion; Algorithms; Cross correlation; Probability; Random variables; Covariance; Fuzzy logic; Computer vision; Inequalities; Permutations; Statistical algorithms; Coefficients; Monte carlo method; General information fusion; Wasserstein metric space;

机译：数据融合;算法;互相关;概率;随机变量;协方差;模糊逻辑;计算机视觉;不等式;置换;统计算法;系数;蒙特卡罗方法;一般信息融合; Wasserstein度量空间;

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机译：通过概率测度空间中的wasserstein重心进行信息融合：经验测度的直接融合和未知相关性的高斯融合
5. Analysis of sequential barycenter random probability measures via discrete constructions. [D] . Valdes, LeRoy Irwin. 2002

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Information Fusion via the Wasserstein Barycenter in the Space of Probability Measures: Direct Fusion of Empirical Measures and Gaussian Fusion with Unknown Correlation.

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