Suchergebnisse - the random non‐negative matrix factorization algorithm

A novel computational framework for integrating multidimensional data to enhance accuracy in predicting the prognosis of colorectal cancer von Zhang, Qinran, Xu, Yuhong, Kang, Shiyang, Chen, Junquan, Yao, Zhihao, Wang, Haitao, Wu, Qinian, Zhao, Qi, Zhang, Qihua, Xu, Rui‐hua, Zou, Xiufen, Luo, Huiyan

“… ‐negative matrix factorization (RNMF) algorithm, which outperformed traditional non‐negative matrix factorization in terms of computational speed, accuracy, and robustness in simulated data sets …”
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Convergence analysis of a non-negative matrix factorization algorithm based on Gibbs random field modeling von Yang, Chenxue, Ye, Mao, Liu, Zijian

“… Non-negative matrix factorization (NMF) is a new approach to deal with the multivariate nonnegative data …”
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Dimension Reduction With Extreme Learning Machine von Kasun, Liyanaarachchi Lekamalage Chamara, Yang, Yan, Huang, Guang-Bin, Zhang, Zhengyou

“… The objective of dimension reduction algorithms, such as principal component analysis (PCA), non-negative matrix factorization (NMF …”
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An Efficient Algorithm for Non-Negative Matrix Factorization with Random Projections von Torre, Gabriele, Graber, Michael

“… Non-negative matrix factorization (NMF) is one of the most popular decomposition techniques for multivariate data …”
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Matrix Factorization-Based Dimensionality Reduction Algorithms─A Comparative Study on Spectroscopic Profiling Data von Zhang, Yinsheng, Jin, Ling, Guo, Fangjie, Ni, Xiaofeng, Zhao, Yaju, Cheng, Yongbo, Wang, Haiyan

“… (principal component analysis), NMF (non-negative matrix factorization), LAE (linear autoencoder), RP (random projection), SRP (sparse random projection …”
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Blind separation of fluorescence spectra using sparse non-negative matrix factorization on right hand factor von Yang, Ruifang, Zhao, Nanjing, Xiao, Xue, Yu, Shaohui, Liu, Jianguo, Liu, Wenqing

“… ; the recognition rate of SNMF/R is higher than that of PARAFAC and non‐negative matrix factorization algorithms, especially in the case of lake water and river water samples …”
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Enhanced Dynamic Surface EMG Decomposition Using the Non-Negative Matrix Factorization and Three-Dimensional Motor Unit Localization von He, Jinbao, Liu, Yang, Li, Sheng, Zhou, Ping, Zhang, Yingchun

“… ) from the eigenvector matrices constructed using the non-negative matrix factorization (NMF). The firing instants of each EFT were then classified into motor units (MUs …”
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Estimating the soil salinity over partially vegetated surfaces from multispectral remote sensing image using non-negative matrix factorization von Liu, Ya, Zhang, Fangfang, Wang, Changkun, Wu, Shiwen, Liu, Jie, Xu, Aiai, Pan, Kai, Pan, Xianzhang

“… In the present study, non-negative matrix factorization (NMF) was implemented to separate soil spectral signal from mixed pixels of Landsat 5 Thematic Mapper (TM …”
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Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey von Jiang, Shuo, Kang, Peiqi, Song, Xinyu, Lo, Benny, Shull, Peter

“… The purpose of this review is to synthesize current novel sensing interfaces and algorithms for hand gesture recognition, and the scope of applications covers rehabilitation, prosthesis control …”
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Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms von Xie, Jianwen, Douglas, Pamela K., Wu, Ying Nian, Brody, Arthur L., Anderson, Ariana E.

“… Non-negative matrix factorization (NMF) would suppress negative BOLD signal by enforcing positivity …”
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Identification of important risk factors for all-cause mortality of acquired long QT syndrome patients using random survival forests and non-negative matrix factorization von Chen, Cheng, Zhou, Jiandong, Yu, Haixu, Zhang, Qingpeng, Gao, Lianjun, Yin, Xiaomeng, Dong, Yingxue, Lin, Yajuan, Li, Daobo, Yang, Yiheng, Wang, Yunsong, Tse, Gary, Xia, Yunlong

“… ) and non-negative matrix factorization (NMF) analyses. Clinical characteristics and manually measured electrocardiographic (ECG …”
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Separating time-frequency sources from time-domain convolutive mixtures using non-negative matrix factorization von Leglaive, Simon, Badeau, Roland, Richard, Gael

“… In this domain, the source coefficients are modeled as centered complex Gaussian random variables whose variances are structured by means of a non-negative matrix factorization model …”
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Group and Basis Restricted Non-Negative Matrix Factorization and Random Forest for Molecular Histotype Classification and Raman Biomarker Monitoring in Breast Cancer von Deng, Xinchen, Milligan, Kirsty, Ali-Adeeb, Ramie, Shreeves, Phillip, Brolo, Alexandre, Lum, Julian J, Andrews, Jeffrey L, Jirasek, Andrew

“… However, tracking biochemical dynamics remains challenging for Raman spectroscopy. Here we developed a novel analytical framework by combining group and basis restricted non-negative matrix factorization and random forest (GBR-NMF-RF …”
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Snapshot ensembles of non-negative matrix factorization for stability of topic modeling von Qiang, Jipeng, Li, Yun, Yuan, Yunhao, Liu, Wei

“… Recently many topic models such as Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF …”
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Link prediction using deep autoencoder-like non-negative matrix factorization with L21-norm von Li, Tongfeng, Zhang, Ruisheng, Yao, Yabing, Liu, Yunwu, Ma, Jun

“… Non-negative matrix factorization(NMF) is widely used in solving the issue of link prediction due to its good interpretability and scalability …”
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Autoencoder-like Sparse Non-Negative Matrix Factorization with Structure Relationship Preservation von Zhong, Ling, Gao, Haiyan

“… Clustering algorithms based on non-negative matrix factorization (NMF) have garnered significant attention in data mining due to their strong interpretability and computational simplicity …”
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Characterizing sediment sources by non-negative matrix factorization of detrital geochronological data von Saylor, J.E., Sundell, K.E., Sharman, G.R.

“… ) age distributions based on samples from a particular depocenter (“sink” samples) using non-negative matrix factorization (NMF …”
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Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models von Alexandridis, Georgios, Siolas, Georgios, Stafylopatis, Andreas

“… of the Friend-of-a-Friend (FoaF) network of each user. This task is accomplished by the non-negative factorization of the adjacency …”
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Influence of α-Stable Noise on the Effectiveness of Non-Negative Matrix Factorization—Simulations and Real Data Analysis von Michalak, Anna, Zdunek, Rafał, Zimroz, Radosław, Wyłomańska, Agnieszka

“… Non-negative matrix factorization (NMF) has been used in various applications, including local damage detection in rotating machines …”
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Robust Sparse Non-Negative Matrix Factorization for Identifying Signals of Interest in Bearing Fault Detection von Shiri, Hamid, Michalak, Anna

“… To address this, we propose a robust sparse non-negative matrix factorization (NMF) method based on the maximum-correntropy criterion, which is known for its robustness in the presence of heavy …”
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