ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1711.02037
  4. Cited By
Randomized Nonnegative Matrix Factorization
v1v2 (latest)

Randomized Nonnegative Matrix Factorization

6 November 2017
N. Benjamin Erichson
Ariana Mendible
Sophie Wihlborn
J. Nathan Kutz
ArXiv (abs)PDFHTML

Papers citing "Randomized Nonnegative Matrix Factorization"

15 / 15 papers shown
Title
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
53
120
0
01 Apr 2018
Why are Big Data Matrices Approximately Low Rank?
Why are Big Data Matrices Approximately Low Rank?
Madeleine Udell
Alex Townsend
57
25
0
21 May 2017
Randomized CP Tensor Decomposition
Randomized CP Tensor Decomposition
N. Benjamin Erichson
Krithika Manohar
Steven L. Brunton
J. Nathan Kutz
63
64
0
27 Mar 2017
Introduction to Nonnegative Matrix Factorization
Introduction to Nonnegative Matrix Factorization
Nicolas Gillis
63
46
0
02 Mar 2017
Practical sketching algorithms for low-rank matrix approximation
Practical sketching algorithms for low-rank matrix approximation
J. Tropp
A. Yurtsever
Madeleine Udell
Volkan Cevher
117
209
0
31 Aug 2016
Randomized Matrix Decompositions using R
Randomized Matrix Decompositions using R
N. Benjamin Erichson
S. Voronin
Steven L. Brunton
J. Nathan Kutz
53
145
0
06 Aug 2016
Compressed Nonnegative Matrix Factorization is Fast and Accurate
Compressed Nonnegative Matrix Factorization is Fast and Accurate
Mariano Tepper
Guillermo Sapiro
96
43
0
18 May 2015
An implementation of a randomized algorithm for principal component
  analysis
An implementation of a randomized algorithm for principal component analysis
Arthur Szlam
Y. Kluger
M. Tygert
57
43
0
11 Dec 2014
Algorithms, Initializations, and Convergence for the Nonnegative Matrix
  Factorization
Algorithms, Initializations, and Convergence for the Nonnegative Matrix Factorization
A. Langville
C. D. Meyer
Russell Albright
J. Cox
David Duling
30
162
0
28 Jul 2014
Optimal CUR Matrix Decompositions
Optimal CUR Matrix Decompositions
Christos Boutsidis
David P. Woodruff
113
188
0
30 May 2014
The Why and How of Nonnegative Matrix Factorization
The Why and How of Nonnegative Matrix Factorization
Nicolas Gillis
102
365
0
21 Jan 2014
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse
  Regression-Based Approaches
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
J. Bioucas-Dias
Antonio J. Plaza
N. Dobigeon
M. Parente
Q. Du
P. Gader
Jocelyn Chanussot
88
2,573
0
28 Feb 2012
Bilateral Random Projections
Bilateral Random Projections
Dinesh Manocha
Dacheng Tao
59
67
0
22 Dec 2011
Computing a Nonnegative Matrix Factorization -- Provably
Computing a Nonnegative Matrix Factorization -- Provably
Sanjeev Arora
Rong Ge
R. Kannan
Ankur Moitra
309
399
0
03 Nov 2011
A randomized algorithm for principal component analysis
A randomized algorithm for principal component analysis
V. Rokhlin
Arthur Szlam
M. Tygert
87
432
0
12 Sep 2008
1