2 citations · 2 across the 2 of their papers we have counts for
Showing cs.DSShow all
3 papers · 1 filter
cs.DS2020
Kernel Density Estimation through Density Constrained Near Neighbor Search
Moses Charikar, Michael Kapralov, Navid Nouri +1
In this paper we revisit the kernel density estimation problem: given a kernel and a dataset of points in high dimensional Euclidean space, prepare a data structure t…
cs.DS2018
Hashing-Based-Estimators for Kernel Density in High Dimensions
Moses Charikar, Paris Siminelakis
Given a set of points and a kernel , the Kernel Density Estimate at a point is defined as $\mathrm{KDE}_{P}(x)=\frac{1}{|P|}\sum_{…
cs.DS2018
Multi-Resolution Hashing for Fast Pairwise Summations
Moses Charikar, Paris Siminelakis
A basic computational primitive in the analysis of massive datasets is summing simple functions over a large number of objects. Modern applications pose an additional challenge in…