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ORCIDElin Farnell
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2020 – today
- 2020
[i8]Henry Adams, Brittany Carr, Elin Farnell:
Support Vector Machines and Radon's Theorem. CoRR abs/2011.00617 (2020)
2010 – 2019
- 2019
- [c5]Henry Kvinge
, Elin Farnell, Jingya Li, Yujia Chen:
Rare Geometries: Revealing Rare Categories via Dimension-Driven Statistics. ICMLA 2019: 276-281 - [i7]Henry Kvinge, Elin Farnell:
Rare geometries: revealing rare categories via dimension-driven statistics. CoRR abs/1901.10585 (2019) - [i6]Elin Farnell, Henry Kvinge, John P. Dixon, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler, Christian W. Smith:
A data-driven approach to sampling matrix selection for compressive sensing. CoRR abs/1906.08869 (2019) - [i5]Henry Kvinge, Elin Farnell, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler:
More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing. CoRR abs/1906.11818 (2019) - 2018
- [c4]Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson:
Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large datasets. IEEE BigData 2018: 1045-1051 - [c3]Elin Farnell, Henry Kvinge, Michael Kirby, Chris Peterson:
Endmember Extraction on the Grassmannian. DSW 2018: 71-75 - [c2]Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson:
Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets. HPEC 2018: 1-7 - [c1]Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson:
A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction. ISPDC 2018: 69-76 - [i4]Elin Farnell, Henry Kvinge, Michael Kirby, Chris Peterson:
Endmember Extraction on the Grassmannian. CoRR abs/1807.01401 (2018) - [i3]Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson:
A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction. CoRR abs/1807.03425 (2018) - [i2]Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson:
Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets. CoRR abs/1808.01686 (2018) - [i1]Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson:
Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large data sets. CoRR abs/1810.11562 (2018)
Coauthor Index
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