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. 1807.04020
  4. Cited By
Improved SVD-based Initialization for Nonnegative Matrix Factorization
  using Low-Rank Correction

Improved SVD-based Initialization for Nonnegative Matrix Factorization using Low-Rank Correction

11 July 2018
Atif Muhammad Syed
S. Qazi
Nicolas Gillis
ArXiv (abs)PDFHTML

Papers citing "Improved SVD-based Initialization for Nonnegative Matrix Factorization using Low-Rank Correction"

5 / 5 papers shown
Title
GSVD-NMF: Recovering Missing Features in Non-negative Matrix Factorization
GSVD-NMF: Recovering Missing Features in Non-negative Matrix Factorization
Youdong Guo
T. Holy
124
0
0
10 Jan 2025
Distributed non-negative RESCAL with Automatic Model Selection for
  Exascale Data
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data
Manish Bhattarai
Namita Kharat
E. Skau
B. Nebgen
H. Djidjev
S. Rajopadhye
James P. Smith
Boian Alexandrov
79
10
0
19 Feb 2022
Initialization for Nonnegative Matrix Factorization: a Comprehensive
  Review
Initialization for Nonnegative Matrix Factorization: a Comprehensive Review
Sajad Fathi Hafshejani
Z. Moaberfard
72
21
0
08 Sep 2021
Tangent Space Based Alternating Projections for Nonnegative Low Rank
  Matrix Approximation
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation
Guang-Jing Song
Michael K. Ng
Tai-Xiang Jiang
52
5
0
02 Sep 2020
Distributionally Robust and Multi-Objective Nonnegative Matrix
  Factorization
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization
Nicolas Gillis
L. Hien
Valentin Leplat
Vincent Y. F. Tan
OOD
65
13
0
30 Jan 2019
1