Results 1 to 10 of about 17,677 (287)
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 [PDF]
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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NMF on Positron Emission Tomography [PDF]
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007 In positron emission tomography, kinetic modelling of brain tracer uptake, metabolism or binding requires knowledge of the cerebral input function. Traditionally, this is achieved with arterial blood sampling in the arm or as shown in (Liptrot, M, et al., 2004) by non-invasive K-means clustering.
Bjarni Bödvarsson +3 more
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Analyze the robustness of three NMF algorithms (Robust NMF with L1 norm, L2-1 norm NMF, L2 NMF)
CoRR, 2023 22 pages, 6 ...
Cheng Zeng, Jiaqi Tian, Yixuan Xu
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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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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.
Jianyu Wang, Xiao-Lei Zhang 0001
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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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Transformation-invariant representation and NMF [PDF]
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2005 Non-negative matrix factorization (NMF) is a method for the decomposition of multivariate data into strictly positive activations and basis vectors. Here, instead of using unstructured data vectors, we assume that something is known in advance about the type of transformations that either the input data or the basis vectors may undergo.
Julian Eggert +2 more
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