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Randomized Matrix Decompositions using R

Randomized Matrix Decompositions using R

6 August 2016
N. Benjamin Erichson
S. Voronin
Steven L. Brunton
J. Nathan Kutz
ArXivPDFHTML

Papers citing "Randomized Matrix Decompositions using R"

11 / 11 papers shown
Title
Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting
  of Atmospheric Chemistry Data
Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting of Atmospheric Chemistry Data
Meghana Velegar
Christoph Keller
J. Nathan Kutz
33
1
0
13 Apr 2024
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization
  and Data Compression
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data Compression
Gabriel F. Barros
Malú Grave
J. Camata
A. Coutinho
AI4CE
32
3
0
16 Aug 2022
On randomized sketching algorithms and the Tracy-Widom law
On randomized sketching algorithms and the Tracy-Widom law
Daniel Ahfock
W. Astle
S. Richardson
21
1
0
03 Jan 2022
Dynamic Mode Decomposition in Adaptive Mesh Refinement and Coarsening
  Simulations
Dynamic Mode Decomposition in Adaptive Mesh Refinement and Coarsening Simulations
Gabriel F. Barros
Malú Grave
Alex Viguerie
A. Reali
A. Coutinho
AI4CE
19
14
0
28 Apr 2021
Modern Koopman Theory for Dynamical Systems
Modern Koopman Theory for Dynamical Systems
Steven L. Brunton
M. Budišić
E. Kaiser
J. Nathan Kutz
AI4CE
46
391
0
24 Feb 2021
How to reduce dimension with PCA and random projections?
How to reduce dimension with PCA and random projections?
Fan Yang
Sifan Liu
Yan Sun
David P. Woodruff
27
28
0
01 May 2020
RetinaMatch: Efficient Template Matching of Retina Images for
  Teleophthalmology
RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology
Chen Gong
N. Benjamin Erichson
J. Kelly
Laura C. Trutoiu
B. Schowengerdt
Steven L. Brunton
E. Seibel
MedIm
11
14
0
28 Nov 2018
Sparse Principal Component Analysis via Variable Projection
Sparse Principal Component Analysis via Variable Projection
N. Benjamin Erichson
Peng Zeng
Krithika Manohar
Steven L. Brunton
J. Nathan Kutz
Aleksandr Aravkin
24
118
0
01 Apr 2018
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
G. Linderman
M. Rachh
J. Hoskins
Stefan Steinerberger
Y. Kluger
30
432
0
25 Dec 2017
Randomized CP Tensor Decomposition
Randomized CP Tensor Decomposition
N. Benjamin Erichson
Krithika Manohar
Steven L. Brunton
J. Nathan Kutz
25
64
0
27 Mar 2017
An algorithm for the principal component analysis of large data sets
An algorithm for the principal component analysis of large data sets
N. Halko
P. Martinsson
Y. Shkolnisky
M. Tygert
68
277
0
30 Jul 2010
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