Results 61 to 70 of about 7,782 (177)
Journal of Telecommunications and Information Technology, 2018 Rapid escalation of wireless communication and hands-free telephony creates a problem with acoustic echo in full-duplex communication applications. In this paper a simulation of model-based acoustic echo cancelation and near-end speaker extraction using
Pallavi Agrawal, Madhu Shandilya
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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 +7 more
wiley +1 more source
Hyperspectral Unmixing Using Robust Deep Nonnegative Matrix Factorization
Remote Sensing, 2023 Nonnegative matrix factorization (NMF) and its numerous variants have been extensively studied and used in hyperspectral unmixing (HU). With the aid of the designed deep structure, deep NMF-based methods demonstrate advantages in exploring the ...
Risheng Huang +4 more
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Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation
, 2018 In this paper, we propose a general framework to accelerate significantly the algorithms for nonnegative matrix factorization (NMF). This framework is inspired from the extrapolation scheme used to accelerate gradient methods in convex optimization and ...
Ang, Andersen Man Shun, Gillis, Nicolas
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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 +2 more
wiley +1 more source
Symmetric Nonnegative Matrix Factorization Based on Box-Constrained Half-Quadratic Optimization
IEEE Access, 2020 Nonnegative Matrix Factorization (NMF) based on half-quadratic (HQ) functions was proven effective and robust when dealing with data contaminated by continuous occlusion according to the half-quadratic optimization theory.
Bo-Wei Chen
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Clustering and Latent Semantic Indexing Aspects of the Nonnegative Matrix Factorization [PDF]
, 2011 This paper provides a theoretical support for clustering aspect of the nonnegative matrix factorization (NMF). By utilizing the Karush-Kuhn-Tucker optimality conditions, we show that NMF objective is equivalent to graph clustering objective, so ...
Mirzal, Andri
core
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 +5 more
wiley +1 more source
Nonnegative Matrix Factorization (NMF) with Heteroscedastic Uncertainties and Missing data
, 2016 Vectorized update rules for NMF with heteroscedastic measurements and the proof. The code NonnegMFPy is available at https://github.com/guangtunbenzhu/NonnegMFPy and can be installed through PyPI.
openaire +2 more sources
Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing [PDF]
, 2012 Nonnegative matrix factorization (NMF) has become a very popular technique in machine learning because it automatically extracts meaningful features through a sparse and part-based representation.
Gillis, Nicolas
core