The rise of nonnegative matrix factorization: algorithms and applications
YT Guo, QQ Li, CS Liang - Information Systems, 2024 - Elsevier
Although nonnegative matrix factorization (NMF) is widely used, some matrix factorization
methods result in misleading results and waste of computing resources due to lack of timely …
methods result in misleading results and waste of computing resources due to lack of timely …
New methods for unmixing sediment grain size data
Grain size distribution (GSD) data are widely used in Earth sciences and although large data
sets are regularly generated, detailed numerical analyses are not routine. Unmixing GSDs …
sets are regularly generated, detailed numerical analyses are not routine. Unmixing GSDs …
Numerical strategies for magnetic mineral unmixing
D Heslop - Earth-Science Reviews, 2015 - Elsevier
Iron-bearing minerals are sensitive to a wide spectrum of natural processes and thus carry
important environmental information. In environmental magnetism, various techniques are …
important environmental information. In environmental magnetism, various techniques are …
Nonnegative matrix and tensor factorization [lecture notes]
In these lecture notes, the authors have outlined several approaches to solve a NMF/NTF
problem. The following main conclusions can be drawn: 1) Multiplicative algorithms are not …
problem. The following main conclusions can be drawn: 1) Multiplicative algorithms are not …
Families of alpha-beta-and gamma-divergences: Flexible and robust measures of similarities
In this paper, we extend and overview wide families of Alpha-, Beta-and Gamma-
divergences and discuss their fundamental properties. In literature usually only one single …
divergences and discuss their fundamental properties. In literature usually only one single …
Fast local algorithms for large scale nonnegative matrix and tensor factorizations
Nonnegative matrix factorization (NMF) and its extensions such as Nonnegative Tensor
Factorization (NTF) have become prominent techniques for blind sources separation (BSS) …
Factorization (NTF) have become prominent techniques for blind sources separation (BSS) …
Role discovery in networks
Roles represent node-level connectivity patterns such as star-center, star-edge nodes, near-
cliques or nodes that act as bridges to different regions of the graph. Intuitively, two nodes …
cliques or nodes that act as bridges to different regions of the graph. Intuitively, two nodes …
[HTML][HTML] Limestone: High-throughput candidate phenotype generation via tensor factorization
The rapidly increasing availability of electronic health records (EHRs) from multiple
heterogeneous sources has spearheaded the adoption of data-driven approaches for …
heterogeneous sources has spearheaded the adoption of data-driven approaches for …
Noninvasive BCIs: Multiway signal-processing array decompositions
In addition to hel** better understand how the human brain works, the brain-computer
interface neuroscience paradigm allows researchers to develop a new class of …
interface neuroscience paradigm allows researchers to develop a new class of …
Local damage detection based on vibration data analysis in the presence of Gaussian and heavy-tailed impulsive noise
Local damage detection in bearings focuses on the identification of periodically impulsive
components. Popular methods assume presence of either non-Gaussian noise or different …
components. Popular methods assume presence of either non-Gaussian noise or different …