Results 31 to 40 of about 20,683 (150)
NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing
, 2021 Hyperspectral unmixing is an important tool to learn the material constitution and distribution of a scene. Model-based unmixing methods depend on well-designed iterative optimization algorithms, which is usually time consuming.
Jun Zhou +9 more
core +1 more source
Robust Semi-Supervised Non-Negative Matrix Factorization With Structured Normalization
IEEE Access, 2019 Non-negative matrix factorization (NMF) approximates a non-negative data matrix with the product of two low-rank non-negative matrices by minimizing the cost of such approximation.
Liujing Wang +4 more
doaj +1 more source
Journal of Water and HealthCholera is a leading cause of mortality in Nigeria. The two most significant predictors of cholera are a lack of access to clean water and poor sanitary conditions.
Hauwa Ahmad Amshi +4 more
doaj +1 more source
BioMedical Engineering OnLine, 2020 Background Nonnegative matrix factorization (NMF) has been successfully used for electroencephalography (EEG) spectral analysis. Since NMF was proposed in the 1990s, many adaptive algorithms have been developed.
Guoqiang Hu +6 more
doaj +1 more source
Hessian Regularization Based Factorization Algorithm Combining Multi-view and Non-negative Matrix [PDF]
Jisuanji gongcheng, 2017 Non-negative matrix does not consider the manifold of data when represents multi-view data,which results in the ineffective express of the data internal expression.In this paper,Hessian regularized Non-negative Matrix Factorization(NMF) is proposed.By ...
WANG Chaofeng,SHI Jun,WU Jinjie,ZHU Jie
doaj +1 more source
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates-2
, 2011 Copyright information:Taken from "LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates"BMC Bioinformatics 2006;7():175-175.Published online 28 Mar 2006PMCID:PMC1450309.Copyright © 2006 Wang et al; licensee BioMed
Andrew V Kossenkov (73124) +2 more
core +1 more source
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates-3
, 2011 Copyright information:Taken from "LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates"BMC Bioinformatics 2006;7():175-175.Published online 28 Mar 2006PMCID:PMC1450309.Copyright © 2006 Wang et al; licensee BioMed
Andrew V Kossenkov (73124) +2 more
core +1 more source
Knowledge Discovery Through Topic Modeling on GoPartner User Reviews Using BERTopic, LDA, and NMF
Journal of Applied Informatics and ComputingTransportation and food delivery services are one of the driving sectors of the digital economy in Indonesia. The e-Conomy SEA 2023 report shows that the transportation and food delivery services sector experienced a decrease in GMV in 2023 by 8% from ...
Metti Detricia Pratiwi, Ken Ditha Tania
doaj +1 more source
Entropy, 2017 Semi-Nonnegative Matrix Factorization (Semi-NMF), as a variant of NMF, inherits the merit of parts-based representation of NMF and possesses the ability to process mixed sign data, which has attracted extensive attention. However, standard Semi-NMF still
Peng Luo, Jinye Peng
doaj +1 more source
The successive projection algorithm as an initialization method for brain tumor segmentation using non-negative matrix factorization. [PDF]
PLoS ONE, 2017 Non-negative matrix factorization (NMF) has become a widely used tool for additive parts-based analysis in a wide range of applications. As NMF is a non-convex problem, the quality of the solution will depend on the initialization of the factor matrices.
Nicolas Sauwen +8 more
doaj +1 more source