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Investigating the feature extraction capabilities of non-negative matrix factorisation algorithms for black-and-white images [PDF]
ITM Web of ConferencesNonnegative matrix factorisation (NMF) is a class of matrix factorisation methods to approximate a nonnegative matrix as a product of two nonnegative matrices.
Liew How Hui +2 more
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LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
BMC Bioinformatics, 2006 Background Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to identify patterns that together explain the data as a linear combination of ...
Kossenkov Andrew V +2 more
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IEEE Access, 2021 We analyzed muscle excitation estimation systematically by Non-negative matrix factorization (NMF) from surface electromyograms (EMG) during dynamic contractions of biceps brachii (BB) muscles.
Martin Savc, Ales Holobar
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Platelet-Related Molecular Subtype to Predict Prognosis in Hepatocellular Carcinoma
Journal of Hepatocellular Carcinoma, 2022 Genhao Zhang Department of Blood Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of ChinaCorrespondence: Genhao Zhang, Email wangshuya617@bjmu.edu.cnPurpose: Complex crosstalk between tumor cells and ...
Zhang G
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NMF-based stimulus decoding of simulated data.
, 2016 (A) Patterns for spike train generation are plotted with the same conventions as in Fig 2A. Overlap of the patterns is increasing from left to right (overlap 0 to 3).
Jian K. Liu (371544) +5 more
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Applied Sciences, 2020 In this paper, methods to estimate the number of basis vectors of the nonnegative matrix factorization (NMF) of automatic music transcription (AMT) systems are proposed.
Seokjin Lee
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Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data
Remote Sensing, 2021 Hyperspectral unmixing is an important technique for analyzing remote sensing images which aims to obtain a collection of endmembers and their corresponding abundances.
Xiaochen Lv, Wenhong Wang, Hongfu Liu
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time-series-nmf: Non-negative Matrix Factorization for Time Series
, 2020 time-series-nmf is a Python package implementing non-negative matrix factorization for time series data. Currently, it supports a version with Tikhonov regularization and sparse constraints as proposed by Fabregat R.. et. al. and implemented in Matlab in
Valentina Staneva, Wu-Jung Lee
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Underwater acoustic target signal enhancement algorithm optimized by feature preservation and noise update [PDF]
Zhihui kongzhi yu fangzhenThe enhancement effect of the classic Nonnegative Matrix Factorization (NMF) applied to underwater acoustic target signal is unsatisfactory for the feature overlap of underwater acoustic target signal and the variability of ocean underwater acoustic ...
XIAO Haixia, CUI Shuangyue, LI Dawei, SUN Mingming, LIU Xianzhong, YANG Zhenxin
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Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Hyperspectral unmixing is an important step to learn the material categories and corresponding distributions in a scene. Over the past decade, nonnegative matrix factorization (NMF) has been utilized for this task, thanks to its good physical ...
Fengchao Xiong +3 more
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