Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large datasets. - Henry Kvinge; Elin Farnell; Michael Kirby; Chris Peterson 001 (IEEE BigData, 2018)

Endmember Extraction on the Grassmannian. - Elin Farnell; Henry Kvinge; Michael Kirby; Chris Peterson 001 (DSW, 2018)

Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets. - Henry Kvinge; Elin Farnell; Michael Kirby; Chris Peterson 001 (HPEC, 2018)

A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction. - Henry Kvinge; Elin Farnell; Michael Kirby; Chris Peterson 001 (ISPDC, 2018)

Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large data sets. - Henry Kvinge; Elin Farnell; Michael Kirby; Chris Peterson 001 (CoRR, 2018)

Rare Geometries: Revealing Rare Categories via Dimension-Driven Statistics. - Henry Kvinge; Elin Farnell; Jingya Li; Yujia Chen (ICMLA, 2019)

Rare geometries: revealing rare categories via dimension-driven statistics. - Henry Kvinge; Elin Farnell (CoRR, 2019)

A data-driven approach to sampling matrix selection for compressive sensing. - Elin Farnell; Henry Kvinge; John P. Dixon; Julia R. Dupuis; Michael Kirby; Chris Peterson 001; Elizabeth C. Schundler; Christian W. Smith (CoRR, 2019)

More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing. - Henry Kvinge; Elin Farnell; Julia R. Dupuis; Michael Kirby; Chris Peterson 001; Elizabeth C. Schundler (CoRR, 2019)

Support Vector Machines and Radon's Theorem. - Henry Adams; Brittany Carr; Elin Farnell (CoRR, 2020)