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20022026
most citedFast Construction of Nets in Low Dimensional Metrics, and Their Applications

272 citations · 611 across the 76 of their papers we have counts for

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cs.DS2021

Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All?

Martin Aumüller, Sariel Har-Peled, Sepideh Mahabadi +2

Similarity search is a fundamental algorithmic primitive, widely used in many computer science disciplines. Given a set of points and a radius parameter , the -near nei…

cs.DS2018

Separators for Planar Graphs that are Almost Trees

Linda Cai, Sariel Har-Peled, Simiao Ye

We prove that a connected planar graph with vertices and edges has a vertex separator of size , and this separator can be computed in linear time.

cs.DS2017

Edge Estimation with Independent Set Oracles

Paul Beame, Sariel Har-Peled, Sivaramakrishnan Natarajan Ramamoorthy +2

We study the task of estimating the number of edges in a graph with access to only an independent set oracle. Independent set queries draw motivation from group testing and have ap…

cs.DS2016★ 6 cited

Computing the k Nearest-Neighbors for all Vertices via Dijkstra

Sariel Har-Peled

We are given a directed graph with vertices and edges, with positive weights on the edges, and a parameter . We show how to compute, for every vertex $v \…

cs.DS2012★ 4 cited

Faster Approximate Distance Queries and Compact Routing in Sparse Graphs

Rachit Agarwal, P. Brighten Godfrey, Sariel Har-Peled

A distance oracle is a compact representation of the shortest distance matrix of a graph. It can be queried to approximate shortest paths between any pair of vertices. Any distance…

cs.DS2008

Range Medians

Sariel Har-Peled, S. Muthukrishnan

We study a generalization of the classical median finding problem to batched query case: given an array of unsorted items and (not necessarily disjoint) intervals in the ar…

cs.DS2004★ 272 cited

Fast Construction of Nets in Low Dimensional Metrics, and Their Applications

Sariel Har-Peled, Manor Mendel

We present a near linear time algorithm for constructing hierarchical nets in finite metric spaces with constant doubling dimension. This data-structure is then applied to obtain i…