98 citations · 365 across the 61 of their papers we have counts for
73 papers
Sampling for Region-Aggregated Spatial Scan Statistics
Foad Namjoo, Drew McClelland, Michael Matheny +1
Anomaly detection in geospatial data is a crucial tool in geographic information science (GIS), with applications ranging from national security to public-health surveillance to th…
The Expiration Streaming Model: Diameter, -Center, Counting, Sampling, and Friends
Lotte Blank, Sergio Cabello, MohammadTaghi Hajiaghayi +5
An important thread in the study of data-stream algorithms focuses on settings where stream items are active only for a limited time. We introduce a new expiration model, where eac…
Trajectory Minimum Touching Ball
Jeff M. Phillips, Jens Kristian Refsgaard Schou
We present algorithms to find the minimum radius sphere that intersects every trajectory in a set of trajectories composed of at most line segments each. When , we can…
Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study
Cullen Anderson, Jeff M. Phillips
Robust statistics aims to compute quantities to represent data where a fraction of it may be arbitrarily corrupted. The most essential statistic is the mean, and in recent years, t…
Locally Adaptive and Differentiable Regression
Mingxuan Han, Varun Shankar, Jeff M Phillips +1
Over-parameterized models like deep nets and random forests have become very popular in machine learning. However, the natural goals of continuity and differentiability, common in…
Linear Distance Metric Learning with Noisy Labels
Meysam Alishahi, Anna Little, Jeff M. Phillips
In linear distance metric learning, we are given data in one Euclidean metric space and the goal is to find an appropriate linear map to another Euclidean metric space which respec…