Results 11 to 20 of about 20,683 (150)
Perbandingan Koefisien NMF dan Proyeksi Bilinear Space Sebagai Fitur pada Pengenalan Ekspresi Wajah Manusia [PDF]
ComTech, 2012 NMF is one new developed method to make the part-based representation of non-negative data, such as human face image. NMF can reduce the dimension of high dimensional data such as multimedia data. In many researches,NMF can also used as a classification
William Salim
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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 [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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shaughnessyar/NMF: NMF Codes for the Susquehanna River Basin
, 2023 This repository contains codes and data for NMF analysis of sulfate in the Susquehanna River ...
Andrew Shaughnessy
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NMF-based Pareto front with scaled data as an input.
, 2023 Each indicator in the components is positively correlating with each other. Therefore there are no reverse objectives, only perpendicular ones. For this reason, the Pareto front is determined with the help of maximizing the objective functions.
János Abonyi (10106040) +3 more
core +1 more source
Mathematics, 2021 Nonnegative Matrix Factorization (NMF) has acquired a relevant role in the panorama of knowledge extraction, thanks to the peculiarity that non-negativity applies to both bases and weights, which allows meaningful interpretations and is consistent with ...
Flavia Esposito
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Non-negative Matrix Factorization for Dimensionality Reduction [PDF]
ITM Web of Conferences, 2022 —What matrix factorization methods do is reduce the dimensionality of the data without losing any important information. In this work, we present the Non-negative Matrix Factorization (NMF) method, focusing on its advantages concerning other methods of ...
Olaya Jbari, Otman Chakkor
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Педиатрическая фармакология, 2019 The article presents modern data on the features of the structure of the skin and the formation of the epidermal barrier in premature and young children.
Nikolay N. Murashkin +5 more
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Spectro-temporal post-enhancement using MMSE estimation in NMF based single-channel source separation [PDF]
, 2013 We propose to use minimum mean squared error (MMSE) estimates to enhance the signals that are separated by nonnegative matrix factorization (NMF). In single channel source separation (SCSS), NMF is used to train a set of basis vectors for each source ...
Erdoğan, Hakan +3 more
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NMF Clustering: Accessible NMF-based Clustering Utilizing GPU Acceleration. [PDF]
, 2023 Non-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.
Liefeld, Ted +7 more
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