Results 141 to 150 of about 142,276 (359)
Electronic Research ArchiveConvolutive non-negative matrix factorization has been a dominant analytical technique for deriving interpretable insights from data in speech processing, image analysis, data mining, biomedicine, and other fields. In this paper, a sparse convolutive non-
Yijia Zhou
doaj +1 more source
Hierarchical Compound Poisson Factorization
, 2016 Non-negative matrix factorization models based on a hierarchical Gamma-Poisson structure capture user and item behavior effectively in extremely sparse data sets, making them the ideal choice for collaborative filtering applications. Hierarchical Poisson
Basbug, Mehmet E. +1 more
core
Evaluating Partitioning Based Clustering Methods for Extended Non-negative Matrix Factorization (NMF) [PDF]
, 2022 Neetika Bhandari, Payal Pahwa
openalex +1 more source
The Aging Blood: Cellular Origins, Circulating Drivers, and Therapeutic Potential
Aging and Cancer, EarlyView.As a conduit linking all organs, the blood system both reflects and actively drives systemic aging. This review highlights how circulating pro‐aging and antiaging factors and age‐associated hematopoietic stem cell dysfunction contribute to immunosenescence and multi‐organ decline, positioning the hematopoietic system as a target for aging intervention.
Hanqing He, Jianwei Wang
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini +7 more
wiley +1 more source
Fully Supervised Non-Negative Matrix Factorization for Feature Extraction
, 2018 W. W. Austin +2 more
openalex +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen +6 more
wiley +1 more source
SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas +18 more
wiley +1 more source
Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization
Big Data Mining and AnalyticsNon-negative Matrix Factorization (NMF) has been an ideal tool for machine learning. Non-negative Matrix Tri-Factorization (NMTF) is a generalization of NMF that incorporates a third non-negative factorization matrix, and has shown impressive clustering ...
Jiyang Yu +5 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu +9 more
wiley +1 more source