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1804.00341
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Sparse Principal Component Analysis via Variable Projection
1 April 2018
N. Benjamin Erichson
Peng Zeng
Krithika Manohar
Steven L. Brunton
J. Nathan Kutz
Aleksandr Aravkin
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Papers citing
"Sparse Principal Component Analysis via Variable Projection"
9 / 9 papers shown
Title
Sparse PCA: a Geometric Approach
Dimitris Bertsimas
Driss Lahlou Kitane
86
8
0
12 Oct 2022
Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural Networks
S. Dong
Jielin Yang
71
18
0
24 Jan 2022
Accounting for missing actors in interaction network inference from abundance data
Raphaelle Momal
Stephane S. Robin
Christophe Ambroise
CML
45
5
0
28 Jul 2020
Sparse principal component regression via singular value decomposition approach
Shuichi Kawano
54
5
0
21 Feb 2020
A generalization of regularized dual averaging and its dynamics
Shih-Kang Chao
Guang Cheng
60
18
0
22 Sep 2019
Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching
Miles E. Lopes
N. Benjamin Erichson
Michael W. Mahoney
118
12
0
13 Sep 2019
Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors
N. Benjamin Erichson
L. Mathelin
Z. Yao
Steven L. Brunton
Michael W. Mahoney
J. Nathan Kutz
AI4CE
61
34
0
20 Feb 2019
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
41
15
0
28 Nov 2018
Randomized Nonnegative Matrix Factorization
N. Benjamin Erichson
Ariana Mendible
Sophie Wihlborn
J. Nathan Kutz
82
53
0
06 Nov 2017
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