Measuring the Effect of Vision on the Synergy of Lower Extremity Muscles during Walking using Nonnegative Matrix Factorization (NNMF) Algorithm Method. [PDF]
Appl Bionics Biomech, 2023 Safari N +4 more
europepmc +1 more source
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
International Statistical Review, EarlyView.Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization. [PDF]
J Imaging, 2021 Fernsel P.
europepmc +1 more source
A spectral analysis extension to DEMATEL for strategic leverage points identification
International Transactions in Operational Research, EarlyView.Abstract Efforts to intervene in complex systems often emphasize influential factors, yet system behavior is equally shaped by the relationships among them. Methods such as Decision‐Making Trial and Evaluation Laboratory (DEMATEL) map causal structures but remain descriptive and do not identify which relationships provide the greatest leverage for ...
Pavlos Delias, Kerasia Kalkitsa
wiley +1 more source
Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. [PDF]
J Imaging, 2021 Dröge H +5 more
europepmc +1 more source
Monopoly Versus Dual‐Channel Distribution With Multiple Retailers
The Journal of Industrial Economics, EarlyView.ABSTRACT This paper examines how downstream competition shapes a manufacturer's decision to adopt a dual‐channel structure—supplying independent retailers via secret two‐part tariff contracts while also operating a direct channel. We show that the shape of the inverse demand function plays a key role in this decision.
Cong Pan
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
Sequential Outlier Detection in Nonstationary Time Series
Journal of Time Series Analysis, EarlyView.ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs +2 more
wiley +1 more source
In-memory analog computing for non-negative matrix factorization
Nature CommunicationsNon-negative matrix factorization (NMF) is a powerful technique for extracting latent structures from high-dimensional data, with applications spanning recommender systems, bioinformatics, and image processing.
Shiqing Wang +6 more
doaj +1 more source
Adaptive computation of the Symmetric Nonnegative Matrix Factorization (NMF)
, 2018 Nonnegative Matrix Factorization (NMF), first proposed in 1994 for data analysis, has received successively much attention in a great variety of contexts such as data mining, text clustering, computer vision, bioinformatics, etc.
F Romani, O Menchi, G Lotti, P Favati
core