Jun 2, 2011 · A random hyperplane search tree is a binary space partition tree obtained by recursive application of random hyperplane splits. We investigate ...
It is proved that, for any fixed dimension d, a random hyperplane search tree storing n points has height at most log_2 n and average element depth at most ...
Jun 2, 2011 · Abstract. Given a set S of n ≥ d points in general position in Rd, a random hyperplane split is obtained by sampling d points uniformly at ...
A hyperplane search tree is a binary tree used to store a set S of n d-dimensional data points. In a random hyperplane search tree for S, ...
Random hyperplane search trees in high dimensions · L. Devroye · Computer Science, Mathematics. J. Comput. Geom. 2015 ; Guarding problems and geometric split ...
Abstract. A hyperplane search tree is a binary tree used to store a set S of n d-dimensional data points. In a random hyperplane search tree for S, ...
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Nov 4, 2022 · I have two sets of 20K, 100-dimensional vectors each. For each vector in set A, I want to find the closest vector in set B under Euclidean ...
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Nov 4, 2016 · The pair of features could be randomly selected, instead of exhaustively trying every pair, and the threshold T and parameters a and b could be ...
A hyperplane search tree is a binary tree used to store a set S of n d-dimensional data points. In a random hyperplane search tree for S, ...
Jul 28, 2017 · I read few solutions about nearest neighbor search in high-dimensions using random hyperplane, but I am still confused about how the buckets ...