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PLANC: Parallel Low Rank Approximation with Non-negativity Constraints

PLANC: Parallel Low Rank Approximation with Non-negativity Constraints

30 August 2019
Srinivas Eswar
Koby Hayashi
Grey Ballard
R. Kannan
Michael A. Matheson
Haesun Park
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Papers citing "PLANC: Parallel Low Rank Approximation with Non-negativity Constraints"

3 / 3 papers shown
Title
Distributed Out-of-Memory NMF on CPU/GPU Architectures
Distributed Out-of-Memory NMF on CPU/GPU Architectures
Ismael Boureima
Manish Bhattarai
M. Eren
E. Skau
Philip Romero
S. Eidenbenz
Boian Alexandrov
19
6
0
19 Feb 2022
Efficient parallel CP decomposition with pairwise perturbation and
  multi-sweep dimension tree
Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree
Linjian Ma
Edgar Solomonik
15
8
0
22 Oct 2020
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
105
1,342
0
06 Jul 2016
1