activity
20102024
most citedConvex Hulls under Uncertainty

26 citations · 34 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DB2024

On Reporting Durable Patterns in Temporal Proximity Graphs

Pankaj K. Agarwal, Xiao Hu, Stavros Sintos +1

Finding patterns in graphs is a fundamental problem in databases and data mining. In many applications, graphs are temporal and evolve over time, so we are interested in finding du…

cs.CG2023

Fast and Accurate Approximations of the Optimal Transport in Semi-Discrete and Discrete Settings

Pankaj K. Agarwal, Sharath Raghvendra, Pouyan Shirzadian +1

Given a -dimensional continuous (resp. discrete) probability distribution and a discrete distribution , the semi-discrete (resp. discrete) Optimal Transport (OT) problem…

cs.CG2023

Vertical Decomposition in 3D and 4D with Applications to Line Nearest-Neighbor Searching in 3D

Pankaj K. Agarwal, Esther Ezra, Micha Sharir

Vertical decomposition is a widely used general technique for decomposing the cells of arrangements of semi-algebraic sets in -space into constant-complexity subcells. In this p…

cs.CG201426 cited

Convex Hulls under Uncertainty

Pankaj K. Agarwal, Sariel Har-Peled, Subhash Suri +2

We study the convex-hull problem in a probabilistic setting, motivated by the need to handle data uncertainty inherent in many applications, including sensor databases, location-ba…

cs.CG20144 cited

Maintaining Contour Trees of Dynamic Terrains

Pankaj K. Agarwal, Lars Arge, Thomas Mølhave +2

We consider maintaining the contour tree of a piecewise-linear triangulation that is the graph of a time varying height function $h: \mathbb{R}^2 \rightar…

cs.CG20141 cited

Kinetic Voronoi Diagrams and Delaunay Triangulations under Polygonal Distance Functions

Pankaj K. Agarwal, Haim Kaplan, Natan Rubin +1

Let be a set of points and a convex -gon in . We analyze in detail the topological (or discrete) changes in the structure of the Voronoi diagram and t…