Results 91 to 100 of about 9,083 (186)

Endmember Independence and Bilateral Filtering Regularizations for Blind Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing (HU) aims to decompose the mixed pixels of a hyperspectral image into endmembers weighted by their corresponding abundances. Recently, matrix–vector nonnegative tensor factorization (MV-NTF) has been successfully applied to ...
Yang Hu, Lei Sun, Ziyang Zhang, Feng Xie
doaj   +1 more source

Hyperspectral Unmixing Using Reweighted Unidirectional TV Low-Rank NTF With Multiple-Factor Collaboration Regularization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The purpose of hyperspectral unmixing (HU) is to extract the spectral signatures and their proportion fractions from the hyperspectral remote sensing image (HSIs), which is a crucial issue in HSIs processing.
Kewen Qu, Zhenqing Li, Xiaojuan Luo, Wenxing Bao, Fangzhou Luo   +4 more
doaj   +1 more source

Spatiotemporal water quality data reconstruction: A tensor factorization framework

Ecological Informatics
Automatic high-frequency monitoring (AHFM) of water quality parameters has gained growing attention for managing eutrophic lakes. However, missing data in water quality datasets remains a persistent challenge, often compromising the reliability of ...
Xuke Wu, Kun Shan, Lan Wang, Jingkai Wang, Mingsheng Shang   +4 more
doaj   +1 more source

VOLUME-REGULARIZED NONNEGATIVE TUCKER DECOMPOSITION WITH IDENTIFIABILITY GUARANTEES. [PDF]

Proc IEEE Int Conf Acoust Speech Signal Process, 2023
Sun Y, Huang K.
europepmc   +1 more source

UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data. [PDF]

Brief Bioinform, 2023
Abe K, Shimamura T.
europepmc   +1 more source

Advances in Nonnegative Matrix and Tensor Factorization

Computational Intelligence and Neuroscience, 2008
Wang, W, Cichocki, A, Mørup, M, Smaragdis, P, Zdunek, R   +4 more
openaire   +4 more sources

Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus. [PDF]

J Am Med Inform Assoc, 2023
Yang C, Gao J, Glass L, Cross A, Sun J.
europepmc   +1 more source

Nonnegative matrix and tensor factorization

Nonnegative matrix and tensor factorization
Several approaches to solve a nonnegative matrix factorization/ nonnegative tensor factorization (NMF/NTF) problems have been outlined. These methods include multiplicative algorithms, projected gradient (PG), fixed point alternating least squares (FP-ALS) algorithms, quasi-Newton (QN) algorithm, and multilayer technique.
openaire  

Clustering individuals using INMTD: a novel versatile multi-view embedding framework integrating omics and imaging data. [PDF]

Bioinformatics
Li Z, Windels SFL, Malod-Dognin N, Weinberg SM, Marazita ML, Walsh S, Shriver MD, Fardo DW, Claes P, Pržulj N, Van Steen K.   +10 more
europepmc   +2 more sources

Modeling the cell-type-specific mesoscale murine connectome with anterograde tracing experiments. [PDF]

Netw Neurosci, 2023
Koelle S, Mastrovito D, Whitesell JD, Hirokawa KE, Zeng H, Meila M, Harris JA, Mihalas S.   +7 more
europepmc   +1 more source