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Efficient Nonnegative Tensor Factorization via Saturating Coordinate
  Descent

Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent

ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
7 March 2020
Thirunavukarasu Balasubramaniam
R. Nayak
Chau Yuen
ArXiv (abs)PDFHTML

Papers citing "Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent"

3 / 3 papers shown
Investigation of Topic Modelling Methods for Understanding the Reports
  of the Mining Projects in Queensland
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland
Yasuko Okamoto
Thirunavukarasu Balasubramaniam
R. Nayak
107
0
0
05 Nov 2021
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using
  Nonnegative Tensor Factorization: A Case Study
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case StudyIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2020
Thirunavukarasu Balasubramaniam
R. Nayak
M. A. Bashar
137
13
0
19 Sep 2020
Nonnegative Low Rank Tensor Approximation and its Application to
  Multi-dimensional Images
Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images
Tai-Xiang Jiang
Michael K. Ng
Junjun Pan
Guang-Jing Song
299
3
0
28 Jul 2020
1
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