Aug 13, 2018 · In this paper, we propose new algorithms and heuristics for OkNN which perform well regardless of neighbour density. Comments: submitted on ...

Sep 6, 2024 · In this paper, we propose new algorithms and heuristics for OkNN which perform well regardless of neighbour density. ResearchGate Logo. Discover ...

Aug 13, 2018 · In this paper, we propose new algorithms and heuristics for OkNN which perform well regardless of neighbour density. PDF Abstract. Code.

This paper proposes a simple lightweight index, called Grid Tree, to store objects and their associated textual data, and demonstrates that the approach has ...

Aug 13, 2018 · We are interested in the problem of finding k nearest neighbours in the plane and in the presence of polygonal obstacles (OkNN).

Aug 13, 2018 · Abstract. We are interested in the problem of finding k nearest neighbours in the plane and in the presence of polygonal obstacles (OkNN ).

Faster and More Robust Mesh-based Algorithms for Obstacle k-Nearest Neighbour · Multi-Target Search in Euclidean Space with Ray Shooting (Full Version) · Dual ...

Abstract. We consider the k-Nearest Neighbour problem in a two- dimensional Euclidean plane with obstacles (OkNN). Exist-.

Tracking Progress in Multi-Agent Path Finding · Faster and More Robust Mesh-based Algorithms for Obstacle k-Nearest Neighbour.

In this paper, we propose new algorithms and heuristics for OkNN which perform well regardless of neighbour density. Read more.