S. Damelin

activity

20172021

collaborators

4 papers

cs.CV2021

On a realization of motion and similarity group equivalence classes of labeled points in $R^{k}$ with applications to computer vision

Steven B. Damelin, David L. Ragozin, Michael Werman

We study a realization of motion and similarity group equivalence classes of $n \geq 1$ labeled points in $R^{k}, k \geq 1$ as a metric space with a computable metric. Our st…

cs.CV2021

Preprocessing power weighted shortest path data using a s-Well Separated Pair Decomposition

Gurpreet S. Kalsi, Steven B. Damelin

For $s$ $>$ 0, we consider an algorithm that computes all $s$ -well separated pairs in certain point sets in $R^{n}$ , $n$ $> 1$ . For an integer $K$ $> 1$ , we also consider an…

cs.LG2019

Power Weighted Shortest Paths for Clustering Euclidean Data

Daniel Mckenzie, Steven Damelin

We study the use of power weighted shortest path distance functions for clustering high dimensional Euclidean data, under the assumption that the data is drawn from a collection of…

math.CA2017

A Koksma-Hlawka-Potential Identity on the $d$ Dimensional Sphere and its Applications to Discrepancy

S. B. Damelin

Let $d \geq 2$ be an integer, $S^{d} \subset R^{d + 1}$ the unit sphere and $σ$ a finite signed measure whose positive and negative parts are supported on $S^{d}$ with finite ene…

On a realization of motion and similarity group equivalence classes of labeled points in Rk with applications to computer vision

Preprocessing power weighted shortest path data using a s-Well Separated Pair Decomposition

Power Weighted Shortest Paths for Clustering Euclidean Data

A Koksma-Hlawka-Potential Identity on the d Dimensional Sphere and its Applications to Discrepancy

On a realization of motion and similarity group equivalence classes of labeled points in $R^{k}$ with applications to computer vision

A Koksma-Hlawka-Potential Identity on the $d$ Dimensional Sphere and its Applications to Discrepancy