Elin Farnell

According to our database, Elin Farnell authored at least 10 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Support Vector Machines and Radon's Theorem.

Henry Adams, Brittany Carr, Elin Farnell

CoRR, 2020

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, Elizabeth C. Schundler

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, Elizabeth C. Schundler, Christian W. Smith

CoRR, 2019

Rare geometries: revealing rare categories via dimension-driven statistics.

Henry Kvinge, Elin Farnell

CoRR, 2019

Rare Geometries: Revealing Rare Categories via Dimension-Driven Statistics.

Henry Kvinge, Elin Farnell, Jingya Li, Yujia Chen

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

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

CoRR, 2018

A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction.

Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson

Proceedings of the 17th International Symposium on Parallel and Distributed Computing, 2018

Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets.

Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Endmember Extraction on the Grassmannian.

Elin Farnell, Henry Kvinge, Michael Kirby, Chris Peterson

Proceedings of the 2018 IEEE Data Science Workshop, 2018

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

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018