2 citations · 2 across the 2 of their papers we have counts for
4 papers
Sketched MinDist
Jeff M. Phillips, Pingfan Tang
We consider sketch vectors of geometric objects through the \mindist function \[ v_i(J) = \inf_{p \in J} \|p-q_i\| \] for from a point set . Collecting the vecto…
Simple Distances for Trajectories via Landmarks
Jeff M. Phillips, Pingfan Tang
We develop a new class of distances for objects including lines, hyperplanes, and trajectories, based on the distance to a set of landmarks. These distances easily and interpretabl…
The Robustness of Estimator Composition
Pingfan Tang, Jeff M. Phillips
We formalize notions of robustness for composite estimators via the notion of a breakdown point. A composite estimator successively applies two (or more) estimators: on data decomp…
Approximating the Distribution of the Median and other Robust Estimators on Uncertain Data
Kevin Buchin, Jeff M. Phillips, Pingfan Tang
Robust estimators, like the median of a point set, are important for data analysis in the presence of outliers. We study robust estimators for locationally uncertain points with di…