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1007.5510
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An algorithm for the principal component analysis of large data sets
30 July 2010
N. Halko
P. Martinsson
Y. Shkolnisky
M. Tygert
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Papers citing
"An algorithm for the principal component analysis of large data sets"
43 / 43 papers shown
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Federated singular value decomposition for high dimensional data
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Richard Rottger
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254
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24 May 2022
Improved analysis of randomized SVD for top-eigenvector approximation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Ruo-Chun Tzeng
Po-An Wang
Florian Adriaens
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236
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16 Feb 2022
Non-Parametric Estimation of Manifolds from Noisy Data
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Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization
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25 Apr 2021
Quantum algorithms for SVD-based data representation and analysis
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Armando Bellante
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313
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19 Apr 2021
Sparse sketches with small inversion bias
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Michal Derezinski
Zhenyu Liao
Guang Cheng
Michael W. Mahoney
514
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21 Nov 2020
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays
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L. Kidzinski
Francis K. C. Hui
D. Warton
Trevor Hastie
306
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06 Oct 2020
A Perturbation-Based Kernel Approximation Framework
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Roy Mitz
Y. Shkolnisky
241
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Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning
Steven L. Brunton
J. Nathan Kutz
Krithika Manohar
Aleksandr Aravkin
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Jeffrey Poskin
Agnes Blom-Schieber
Thomas Hogan
Darren McDonald
AI4CE
252
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24 Aug 2020
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Fan Yang
Sifan Liu
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David P. Woodruff
338
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01 May 2020
Error Estimation for Sketched SVD via the Bootstrap
International Conference on Machine Learning (ICML), 2020
Miles E. Lopes
N. Benjamin Erichson
Michael W. Mahoney
229
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10 Mar 2020
Computing rank-revealing factorizations of matrices stored out-of-core
Concurrency and Computation (CCPE), 2020
N. Heavner
P. Martinsson
Gregorio Quintana-Ortí
264
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17 Feb 2020
On-the-fly Global Embeddings Using Random Projections for Extreme Multi-label Classification
Yashaswi Verma
312
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17 Dec 2019
ROIPCA: An online memory-restricted PCA algorithm based on rank-one updates
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Roy Mitz
Y. Shkolnisky
292
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25 Nov 2019
Tutorial: Complexity analysis of Singular Value Decomposition and its variants
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Shuo Wang
Yinghao Cai
257
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28 Jun 2019
Identification of synoptic weather types over Taiwan area with multiple classifiers
Atmospheric Science Letters (AS), 2018
S. Su
Jung‐Lien Chu
Ting-Shuo Yo
Lee-Yaw Lin
137
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21 May 2019
Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections
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Di Zhang
Glenn Chisholm
Xuan Zhao
Matt Wolff
164
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03 Jan 2019
Random Projection in Deep Neural Networks
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200
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End-to-end Image Captioning Exploits Multimodal Distributional Similarity
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Josiah Wang
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Marin Bukov
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A. G. Day
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D. Schwab
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Diffusion Maps meet Nyström
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L. Mathelin
Steven L. Brunton
J. Nathan Kutz
216
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23 Feb 2018
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
Nature Methods (Nat Methods), 2017
G. Linderman
M. Rachh
J. Hoskins
Stefan Steinerberger
Y. Kluger
378
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25 Dec 2017
Lazy stochastic principal component analysis
M. Wojnowicz
Dinh Nguyen
Li Li
Xuan Zhao
169
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21 Sep 2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
J. Tropp
A. Yurtsever
Madeleine Udell
Volkan Cevher
306
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18 Jun 2017
Spatial Random Sampling: A Structure-Preserving Data Sketching Tool
M. Rahmani
George Atia
303
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09 May 2017
Single-Pass PCA of Large High-Dimensional Data
Wenjian Yu
Yu Gu
Jun Yu Li
Shenghua Liu
Yaohang Li
200
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25 Apr 2017
Integrating multiple random sketches for singular value decomposition
Ting-Li Chen
Dawei Chang
Su‐Yun Huang
Hung Chen
Chienyao Lin
Weichung Wang
214
14
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29 Aug 2016
Randomized Matrix Decompositions using R
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S. Voronin
Steven L. Brunton
J. Nathan Kutz
395
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06 Aug 2016
A Communication Efficient and Scalable Distributed Data Mining for the Astronomical Data
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Aruna Govada
S. K. Sahay
172
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23 Jun 2016
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge
Michel Valstar
Jonathan Gratch
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Fabien Ringeval
D. Lalanne
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Stefan Scherer
Giota Stratou
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Maja Pantic
617
654
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05 May 2016
Nonparametric Canonical Correlation Analysis
T. Michaeli
Weiran Wang
Karen Livescu
450
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16 Nov 2015
Large-Scale Approximate Kernel Canonical Correlation Analysis
Weiran Wang
Karen Livescu
474
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15 Nov 2015
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Cameron Musco
Christopher Musco
318
20
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21 Apr 2015
High Dimensional Low Rank plus Sparse Matrix Decomposition
M. Rahmani
George Atia
534
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01 Feb 2015
Large scale canonical correlation analysis with iterative least squares
Neural Information Processing Systems (NeurIPS), 2014
Y. Lu
Dean Phillips Foster
398
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16 Jul 2014
Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent
Conference on Uncertainty in Artificial Intelligence (UAI), 2014
Y. Lu
Dean Phillips Foster
ODL
257
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15 May 2014
Greedy Column Subset Selection for Large-scale Data Sets
Knowledge and Information Systems (KAIS), 2013
Ahmed K. Farahat
Ahmed Elgohary
A. Ghodsi
M. Kamel
287
64
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24 Dec 2013
Combining Structured and Unstructured Randomness in Large Scale PCA
Nikos Karampatziakis
Paul Mineiro
304
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23 Oct 2013
An Image-Based Fluid Surface Pattern Model
Mauro de Amorim
R. Fabbri
Lucia Maria dos Santos Pinto
F. D. M. Neto
DiffM
215
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30 Sep 2013
Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM
Journal of Structural Biology (JSB), 2013
Zhizhen Zhao
A. Singer
524
121
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29 Sep 2013
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