Numerical Approximation of Andrews Plots with Optimal Spatial-Spectral Smoothing

no code implementations • 26 Apr 2023 • Mitchell Rimerman, Nate Strawn

Andrews plots provide aesthetically pleasant visualizations of high-dimensional datasets.

Filament Plots for Data Visualization

1 code implementation • 20 Jul 2021 • Nate Strawn

This inspires us to replace "scatterplots of points" with "scatterplots of curves" to simultaneously visualize relationships across an entire dataset.

Data Visualization

Distributed Statistical Estimation and Rates of Convergence in Normal Approximation

no code implementations • 9 Apr 2017 • Stanislav Minsker, Nate Strawn

This paper presents a class of new algorithms for distributed statistical estimation that exploit divide-and-conquer approach.

Topological and Statistical Behavior Classifiers for Tracking Applications

no code implementations • 1 Jun 2014 • Paul Bendich, Sang Chin, Jesse Clarke, Jonathan deSena, John Harer, Elizabeth Munch, Andrew Newman, David Porter, David Rouse, Nate Strawn, Adam Watkins

We introduce the first unified theory for target tracking using Multiple Hypothesis Tracking, Topological Data Analysis, and machine learning.

BIG-bench Machine Learning General Classification +1

Constructing all self-adjoint matrices with prescribed spectrum and diagonal

1 code implementation • 12 Jul 2011 • Matthew Fickus, Dustin G. Mixon, Miriam J. Poteet, Nate Strawn

In this paper, we show how to explicitly construct every such sequence of eigensteps.

Functional Analysis 42C15