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Found 2 papers, 1 papers with code
The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search
This paper reconsiders common benchmarking approaches to nearest neighbor search.
MapReduce and Streaming Algorithms for Diversity Maximization in Metric Spaces of Bounded Doubling Dimension
Given a dataset of points in a metric space and an integer $k$, a diversity maximization problem requires determining a subset of $k$ points maximizing some diversity objective measure, e. g., the minimum or the average distance between two points in the subset.
Distributed, Parallel, and Cluster Computing
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