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Space-Efficient Approximation Scheme for Circular Earth Mover Distance

机译:圆形地球移动器距离的节省空间的近似方案

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The Earth Mover Distance (EMD) between point sets A and B is the minimum cost of a bipartite matching between A and B. EMD is an important measure for estimating similarities between objects with quantifiable features and has important applications in several areas including computer vision. The streaming complexity of approximating EMD between point sets in a two-dimensional discretized grid is an important open problem proposed in [8,9].We study the problem of approximating EMD in the streaming model, when points lie on a discretized circle. Computing the EMD in this setting has applications to computer vision [13] and can be seen as a special case of computing EMD on a discretized grid. We achieve a (1 ± ε) approximation for EMD in O(ε~(-3)) space, for every 0 < ε < 1. To our knowledge, this is the first streaming algorithm for a natural and widely applied EMD model that matches the space bound asked in [9].
机译:点集A和B之间的行人距离(EMD)是A和B之间二分匹配的最低成本。EMD是评估具有可量化特征的对象之间相似性的重要度量,并且在包括计算机视觉在内的多个领域中都有重要的应用。二维离散网格中点集之间逼近EMD的流复杂性是[8,9]中提出的一个重要的开放性问题。当点位于离散圆上时,我们研究流模型中的EMD逼近问题。在这种情况下计算EMD可应用于计算机视觉[13],可以看作是在离散化网格上计算EMD的特例。对于每0 <ε<1,我们获得O(ε〜(-3))空间中EMD的(1±ε)近似值。据我们所知,这是针对自然且广泛应用的EMD模型的第一个流算法,匹配[9]中要求的空格。

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