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Accelerating block coordinate descent for nonnegative tensor factorization

open access: yesNumerical Linear Algebra With Applications, 2021
International audienceThis paper is concerned with improving the empirical convergence speed of block-coordinate descent algorithms for approximate nonnegative tensor factorization (NTF).
Nicolas Gillis   +2 more
exaly   +3 more sources

Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2019
Hyperspectral unmixing decomposes a hyperspectral imagery (HSI) into a number of constituent materials and associated proportions. Recently, nonnegative tensor factorization (NTF)-based methods have been proposed for hyperspectral unmixing thanks to ...
Yuan Yan Tang, Yuntao Qian
exaly   +2 more sources
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Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations

Neural Computing and Applications, 2011
Alternative least squares (ALS) algorithm is considered as a “work-horse” algorithm for general tensor factorizations. A common form of this algorithm for nonnegative tensor factorizations (NTF) is always combined with a nonlinear projection (rectifier) to enforce nonnegative entries during the estimation.
Anh Huy Phan 0001, Andrzej Cichocki
openaire   +2 more sources

Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2017
Many spectral unmixing approaches ranging from geometry, algebra to statistics have been proposed, in which nonnegative matrix factorization (NMF)-based ones form an important family.
Shan Zeng, Yuan Yan Tang
exaly   +2 more sources

Solving Time-Domain Audio Inverse Problems Using Nonnegative Tensor Factorization

open access: yesIEEE Transactions on Signal Processing, 2018
International audienceNonnegative matrix and tensor factorization (NMF and NTF) are important tools for modeling nonnegative data, which gained increasing popularity in various fields, a significant one of which is audio processing.
Cagdas Bilen   +2 more
exaly   +1 more source

Endmember independence constrained hyperspectral unmixing via nonnegative tensor factorization

Knowledge-Based Systems, 2021
Ting-Zhu Huang, Jin-Ju Wang, Xi-Le Zhao
exaly  

Sparsity-Constrained Coupled Nonnegative Matrix–Tensor Factorization for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Xin-Ru Feng, Shuang Liu, Shaoquan Zhang
exaly  

Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2009
Anh-Huy Phan, Andrzej Cichocki
exaly  

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