Don Sheehy

4 Abonné

computational geometry persistent homology mesh generation computational topology rips complex voronoi diagram metric nets nested dissection homology inference topology sampling metric embeddings homological sensor networks persistent johnson-lindenstrauss random projection stereographic projection geometric separators comp delaunay triangulation nerve theorem manifold learning minimax rates local feature size epsilon-nets epsilon-nets computational-geometry mesh-generatio computational-geometry manifold-learning geometric computational-geometry voronoi-diagrams centerpoints approximation algorithms

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Don Sheehy

Présentations

Approximate Centerpoints with Proofs

Linear Size Meshes

Centerpoints Theory Lunch Talk

Planar Graphis in 2.5 Dimensions

The Centervertex Theorem (FWCG)

The Centervertex Theorem (CCCG)

Overlay Stitch Meshing

Achieving Spatial Adaptivity while Searching for Approximate Nearest Neighbors

Geometry, Topology, and all of Your Wildest Dreams Will Come True

Topological Inference via Meshing

Topological Inference via Meshing

On Nets and Meshes

Learning with Nets and Meshes

Ball Packings and Fat Voronoi Diagrams

Beating the Spread: Time-Optimal Point Meshing

Flips in Computational Geometry

New Bounds on the Size of Optimal Meshes

ATMCS: Linear-Size Approximations to the Vietoris-Rips Filtration

A Multicover Nerve for Geometric Inference

Minimax Rates for Homology Inference

Linear-Size Approximations to the Vietoris-Rips Filtration - Presented at University of Muenster

SOCG: Linear-Size Approximations to the Vietoris-Rips Filtration

Mesh Generation and Topological Data Analysis

Output-Sensitive Voronoi Diagrams and Delaunay Triangulations

Optimal Meshing

A New Approach to Output-Sensitive Voronoi Diagrams and Delaunay Triangulations

Geometric Separators and the Parabolic Lift

Geometric and Topological Data Analysis

The Persistent Homology of Distance Functions under Random Projection

Persistent Homology and Nested Dissection