Results 1 to 10 of about 55,457 (295)
Neurocomputing, 2023 Nonnegative matrix factorization (NMF) based topic modeling methods do not rely on model- or data-assumptions much. However, they are usually formulated as difficult optimization problems, which may suffer from bad local minima and high computational complexity.
Wang, JianYu, Zhang, Xiao-Lei
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MSDA-NMF: A Multilayer Complex System Model Integrating Deep Autoencoder and NMF
Mathematics, 2022 In essence, the network is a way of encoding the information of the underlying social management system. Ubiquitous social management systems rarely exist alone and have dynamic complexity.
Xiaoming Li +3 more
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NMF-NAD:detecting network-wide traffic anomaly based on NMF
Tongxin xuebao, 2012 A non-negative matrix factorization (NMF) based network wide traffic anomalies detection (NMF-NAD) method was proposed.NMF-NAD firstly reconstructed the traffic matrix in the non-negative sub-space,and then detected the anomalies through Shewhart control
Xiang-lin WEI +3 more
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Klevfos Cellulose- & Papirfabrik
Norsk Museumstidsskrift, 2022 Klevfos Industrimuseum er i dag en del av Anno museum og viser industrimiljøet ved den tidligere fabrikken Klevfos Cellulose- & Papirfabrik AS. Fabrikken og produksjonsutstyret står i dag i hovedsak slik det gjorde ved nedleggelsen i 1976. Med bakgrunn i
Ida Kristine Teien
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UNSUPERVISED DYNAMIC TOPIC MODEL FOR EXTRACTING ADVERSE DRUG REACTION FROM HEALTH FORUMS [PDF]
Applied Computer Science, 2020 The relationship between drug and its side effects has been outlined in two websites: Sider and WebMD. The aim of this study was to find the association between drug and its side effects.
Behnaz ESLAMI +4 more
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Electrochemical Science Advances, 2023 Fuel cells (FCs) have gained a prominent position in recent years within the scientific community and the energy market as an alternative to mitigate the inherent problems in the energy production based on fossil fuels such as the constant reduction of ...
María Catalina Bermúdez Agudelo +1 more
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Jurnal Teknologi dan Sistem Komputer, 2021 The Short-time Fourier transform (STFT) is a popular time-frequency representation in many source separation problems. In this work, the sampled and discretized version of Discrete Gabor Transform (DGT) is proposed to replace STFT within the single ...
Jans Hendry +2 more
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NMF Clustering: Accessible NMF-based Clustering Utilizing GPU Acceleration
Journal of Bioinformatics and Systems Biology, 2023 AbstractSummaryNon-negative Matrix Factorization (NMF) is an algorithm that can reduce high dimensional datasets of tens of thousands of genes to a handful of metagenes which are biologically easier to interpret. Application of NMF on gene expression data has been limited by its computationally intensive nature, which hinders its use on large datasets ...
Liefeld, Ted +7 more
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Analyze the robustness of three NMF algorithms (Robust NMF with L1 norm, L2-1 norm NMF, L2 NMF)
, 2023 22 pages, 6 ...
Zeng, Cheng, Tian, Jiaqi, Xu, Yixuan
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Maximum Likelihood Estimation Based Nonnegative Matrix Factorization for Hyperspectral Unmixing
Remote Sensing, 2021 Hyperspectral unmixing (HU) is a research hotspot of hyperspectral remote sensing technology. As a classical HU method, the nonnegative matrix factorization (NMF) unmixing method can decompose an observed hyperspectral data matrix into the product of two
Qin Jiang +4 more
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