Results 71 to 80 of about 7,807 (178)

Adaptive Graph via Multiple Kernel Learning for Nonnegative Matrix Factorization [PDF]

, 2013
Nonnegative Matrix Factorization (NMF) has been continuously evolving in several areas like pattern recognition and information retrieval methods. It factorizes a matrix into a product of 2 low-rank non-negative matrices that will define parts-based, and
AbdulJabbar, Mustafa, Wang, Jing-Yan
core  

STC1‐Based Activation of NF‐κB Signaling Pathway Induces Epthithelial–Mesenchymal Transition Thus Promotes Progression and Temozolomide Resistance of Glioblastoma

The FASEB Journal, Volume 39, Issue 19, 15 October 2025.
Glioblastoma (GBM), a neuroepithelial‐derived lethal malignancy, remains incurable due to its intrinsic heterogeneity, necessitating molecular biomarkers for precision therapeutics. STC1 promotes GBM progression and temozolomide (TMZ) resistance by activating the NF‐κB signaling pathway, which drives epithelial–mesenchymal transition (EMT) and enhances
Jia Wang, Beichen Zhang, Haoyu Zhou, Bin Liu, Xiaobin Bai, Wei Wu, Ruichun Li, Wanfu Xie   +7 more
wiley   +1 more source

A multilevel approach for nonnegative matrix factorization [PDF]

Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low-rank nonnegative matrices and has been shown to be particularly useful in many applications, e.g., in text mining, image processing ...
GILLIS, Nicolas, GLINEUR, François
core  

Unsupervised Classification of Polymers Using Low‐Loss Spectral Features in Scanning Transmission Electron Microscopy With Electron Energy‐Loss Spectroscopy

Journal of Applied Polymer Science, Volume 142, Issue 38, October 10 2025.
This study presents a classification model for nanoscale polymer characterization using low‐loss spectral data from scanning transmission electron microscopy and electron energy‐loss spectroscopy. Key spectral features are extracted via mixed Gaussian model fitting with theexpectation‐maximization algorithm, enabling successful clustering of seven ...
Hiroki Umemoto, Shigeo Arai, Shunsuke Muto   +2 more
wiley   +1 more source

Regularized nonnegative matrix factorization: Geometrical interpretation and application to spectral unmixing

International Journal of Applied Mathematics and Computer Science, 2014
Nonnegative Matrix Factorization (NMF) is an important tool in data spectral analysis. However, when a mixing matrix or sources are not sufficiently sparse, NMF of an observation matrix is not unique.
Zdunek Rafał
doaj   +1 more source

Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selection

Medical Physics, Volume 52, Issue 10, October 2025.
Abstract Background External beam radiation therapy is a common treatment for head and neck (H&N) cancers. Radiomic features derived from biomedical images have shown promise as effective biomarkers used to assess tumor heterogeneity and predict response to treatment.
Amir Moslemi, Laurentius Oscar Osapoetra, Aryan Safakish, Lakshmanan Sannachi, David Alberico, Gregory J Czarnota   +5 more
wiley   +1 more source

Underwater acoustic target signal enhancement algorithm optimized by feature preservation and noise update [PDF]

Zhihui kongzhi yu fangzhen
The 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
doaj   +1 more source

Graph Neural Network‐Based Online Collaborative Filtering Using Transductive Node Embeddings

Computational Intelligence, Volume 41, Issue 5, October 2025.
ABSTRACT The field of recommendation systems is a hot topic thanks to the increasing number of available digital products and services. In connection with this topic, the research of Graph Neural Network solutions has played a significant role in recent years.
Gábor Szűcs, Richárd Kiss
wiley   +1 more source

Gaussian mixture gain priors for regularized nonnegative matrix factorization in single-channel source separation [PDF]

, 2012
We propose a new method to incorporate statistical priors on the solution of the nonnegative matrix factorization (NMF) for single-channel source separation (SCSS) applications.
Erdogan, Hakan, Erdoğan, Hakan, Grais, Emad Mounir   +2 more
core  

Hyperspectral Imaging Techniques for Lyophilization: Advances in Data‐Driven Modeling Strategies and Applications

Advanced Science, Volume 12, Issue 33, September 4, 2025.
Lyophilization is a key process used in the production of biotherapeutic products. This article reviews and discusses the application of HSI on lyophilization, and the strategies that use the resulting data to build models. It is intended to provide guidance and insights for non‐specialist researchers and engineers into leveraging HSI and the data ...
Huiwen Yu, Prakitr Srisuma, Cedric Devos, Jie Wang, Allan S. Myerson, Richard D. Braatz   +5 more
wiley   +1 more source