Multiplicative Algorithms for Symmetric Nonnegative Tensor Factorizations and Its Applications
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Scientific Computing"
DOI: 10.1007/s10915-020-01233-w
Abstract: Nonnegative tensor factorization (NTF) and nonnegative Tucker decomposition (NTD) have been widely applied in high-dimensional nonnegative tensor data analysis. This paper focuses on symmetric NTF and symmetric NTD, which are the special cases of NTF… read more here.
Keywords: multiplicative updating; tensor; updating rules; multiplicative algorithms ... See more keywords
Nonnegative tensor factorization for contaminant source identification.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of contaminant hydrology"
DOI: 10.1016/j.jconhyd.2018.11.010
Abstract: Unsupervised Machine Learning (ML) is becoming increasingly popular for solving various types of data analytics problems including feature extraction, blind source separation, exploratory analyses, model diagnostics, etc. Here, we have developed a new unsupervised ML… read more here.
Keywords: methodology; tensor factorization; groundwater types; contaminant ... See more keywords
On the estimates of the Z-eigenpair for an irreducible nonnegative tensor
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2017.01.078
Abstract: Abstract In this paper, we are concerned with the Z -eigenpair of a tensor, in particular, an irreducible nonnegative tensor. Some new lower and upper bounds for the eigenvector and Z -spectral radius of an… read more here.
Keywords: eigenpair irreducible; irreducible nonnegative; tensor; estimates eigenpair ... See more keywords
Application of Nonnegative Tensor Factorization for neutron-gamma discrimination of Monte Carlo simulated fission chamber’s output signals
Sign Up to like & getrecommendations! Published in 2017 at "Results in physics"
DOI: 10.1016/j.rinp.2017.04.009
Abstract: Abstract For efficient exploitation of research reactors, it is important to discern neutron flux distribution inside the reactor with the best possible precision. For this reason, fission and ionization chambers are used to measure the… read more here.
Keywords: chamber; gamma discrimination; neutron gamma; nonnegative tensor ... See more keywords
Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac390
Abstract: More and more evidence indicates that the dysregulations of microRNAs (miRNAs) lead to diseases through various kinds of underlying mechanisms. Identifying the multiple types of disease-related miRNAs plays an important role in studying the molecular… read more here.
Keywords: paced learning; tensor; hypergraph regularization; self paced ... See more keywords
Efficient Weighted-Adaptive Sparse Constrained Nonnegative Tensor Factorization for Hyperspectral Unmixing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3223115
Abstract: Hyperspectral unmixing aims to separate pure materials and their corresponding proportions that constitute the mixed pixels of hyperspectral imagery (HSI). Recently, the matrix-vector nonnegative tensor factorization (MV-NTF) has attracted wide attention in this field due… read more here.
Keywords: tensor; sparse; factorization; nonnegative tensor ... See more keywords
Nesterov-Based Alternating Optimization for Nonnegative Tensor Factorization: Algorithm and Parallel Implementation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2017.2777399
Abstract: We consider the problem of nonnegative tensor factorization. Our aim is to derive an efficient algorithm that is also suitable for parallel implementation. We adopt the alternating optimization framework and solve each matrix nonnegative least-squares… read more here.
Keywords: tensor factorization; nonnegative tensor; parallel implementation;
NTD-DR: Nonnegative tensor decomposition for drug repositioning
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0270852
Abstract: Computational drug repositioning aims to identify potential applications of existing drugs for the treatment of diseases for which they were not designed. This approach can considerably accelerate the traditional drug discovery process by decreasing the… read more here.
Keywords: drug repositioning; tensor; drug; tensor decomposition ... See more keywords
Application of Nonnegative Tensor Factorization for Intercity Rail–Air Transport Supply Configuration Pattern Recognition
Sign Up to like & getrecommendations! Published in 2019 at "Sustainability"
DOI: 10.3390/su11061803
Abstract: With the rapid expansion of the railway represented by high-speed rail (HSR) in China, competition between railway and aviation will become increasingly common on a large scale. Beijing, Shanghai, and Guangzhou are the busiest cities… read more here.
Keywords: supply configuration; nonnegative tensor; supply; tensor factorization ... See more keywords