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  3. 1807.03425
  4. Cited By
A GPU-Oriented Algorithm Design for Secant-Based Dimensionality
  Reduction

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

10 July 2018
Henry Kvinge
Elin Farnell
Michael Kirby
C. Peterson
ArXiv (abs)PDFHTML

Papers citing "A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction"

6 / 6 papers shown
A Discrete Empirical Interpolation Method for Interpretable Immersion
  and Embedding of Nonlinear Manifolds
A Discrete Empirical Interpolation Method for Interpretable Immersion and Embedding of Nonlinear Manifolds
Samuel E. Otto
C. Rowley
96
4
0
18 May 2019
Multidimensional Scaling: Infinite Metric Measure Spaces
Multidimensional Scaling: Infinite Metric Measure Spaces
Lara Kassab
LRM
75
7
0
16 Apr 2019
GAN-based Projector for Faster Recovery with Convergence Guarantees in
  Linear Inverse Problems
GAN-based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse Problems
Ankit Raj
Yuqi Li
Y. Bresler
261
6
0
26 Feb 2019
Rare geometries: revealing rare categories via dimension-driven
  statistics
Rare geometries: revealing rare categories via dimension-driven statisticsInternational Conference on Machine Learning and Applications (ICMLA), 2019
Henry Kvinge
Elin Farnell
Jingya Li
Yujia Chen
122
1
0
29 Jan 2019
Monitoring the shape of weather, soundscapes, and dynamical systems: a
  new statistic for dimension-driven data analysis on large data sets
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
C. Peterson
106
2
0
27 Oct 2018
Too many secants: a hierarchical approach to secant-based dimensionality
  reduction on large data sets
Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets
Henry Kvinge
Elin Farnell
Michael Kirby
C. Peterson
153
4
0
05 Aug 2018
1
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