activity
20202025
most citedA Novel Point Inclusion Test for Convex Polygons Based on Voronoi Tessellations

9 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

A Novel Narrow Region Detector for Sampling-Based Planners' Efficiency: Match Based Passage Identifier

Yafes Enes Şahiner, Esat Yusuf Gündoğdu, Volkan Sezer

Autonomous technology, which has become widespread today, appears in many different configurations such as mobile robots, manipulators, and drones. One of the most important tasks…

cs.LG2022

Condensed Representation of Machine Learning Data

Rahman Salim Zengin, Volkan Sezer

Training of a Machine Learning model requires sufficient data. The sufficiency of the data is not always about the quantity, but about the relevancy and reduced redundancy. Data-ge…

cs.LG2021

Super-klust: Another Way of Piecewise Linear Classification

Rahman Salim Zengin, Volkan Sezer

With our previous study, the Super-k algorithm, we have introduced a novel way of piecewise-linear classification. While working on the Super-k algorithm, we have found that there…

cs.LG2020

Super-k: A Piecewise Linear Classifier Based on Voronoi Tessellations

Rahman Salim Zengin, Volkan Sezer

Voronoi tessellations are used to partition the Euclidean space into polyhedral regions, which are called Voronoi cells. Labeling the Voronoi cells with the class information, we c…

cs.CG2020★ 9 cited

A Novel Point Inclusion Test for Convex Polygons Based on Voronoi Tessellations

Rahman Salim Zengin, Volkan Sezer

The point inclusion tests for polygons, in other words the point-in-polygon (PIP) algorithms, are fundamental tools for many scientific fields related to computational geometry, an…