IEEE

Low-Rank Matrix Factorization Induced Adaptive Divergent Graph Learning for Fuzzy Clustering

Abstract: This paper proposes Low-rank matrix factorization induced Adaptive divergent Graph learning for Fuzzy Clustering (LAGFC). This is a clustering model that unifies low-rank matrix ...
GitHub

Low-rank factorization for correlated bath HEOM simulations

Is your feature request related to a problem? Simulating systems with spatially correlated baths using HEOM scales as (Nk+1)^N auxiliary density operators. For the FMO complex (N=7 sites, Nk=3), this ...
collider

10 Best Action Scenes of the 20th Century, Ranked

Jeremy has more than 2200 published articles on Collider to his name, and has been writing for the site since February 2022. He's an omnivore when it comes to his movie-watching diet, so will gladly ...
inforum

Where do the Timberwolves rank in national top 100 player lists?

NBA top 100 player lists are staples of preseason coverage for national sports outlets as a way to size up the league’s top athletes and their respective teams. So, how do Minnesota’s top guys stack ...
Scientific Research Publishing

Saberi-Movahed, F., Berahman, K., Sheikhpour, R., Li, Y. and Pan, S. (2024) Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey.

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...
Scientific Research Publishing

Pauca, V.P., Piper, J. and Plemmons, R.J. (2006) Nonnegative Matrix Factorization for Spectral Data Analysis. Linear Algebra and Its Applications, 416, 29-47.

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...
NFL

NFL Power Rankings, Week 7: Baker Mayfield-led Buccaneers hit No. 1, while Seahawks crack top 3

The truth-serum answer: I honestly don't believe there's a clear-cut front-runner. Everyone has flaws. There are no unbeatens, and only four teams have one loss. The Bills and Eagles have each lost ...
IEEE

Semi-Supervised Symmetric Non-Negative Matrix Factorization With Low-Rank Tensor Representation

Abstract: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ...
Comicbook.com

One of the Most Confusing Things About The Matrix Sequels Actually Has an Answer

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Michael ends up finding himself trapped on the roof of his school with the Agents closing in on ...
GitHub

Proposal: Accelerate Non-Negative Matrix Factorization (NMF) needed for Dimensionality Reduction

Is your feature request related to a problem? Please describe. We wish to use cuML to accelerate our experiment on Identifying gene expression programs of cell-type identity and cellular activity.
Frontiers

Assessment of the sources and health risks of heavy metals in the soil-rice system based on positive matrix factorization and Monte Carlo simulation

1 School of Public Health and Management, Chongqing Three Gorges Medical College, Chongqing, China 2 Department of Environment and Food Hygiene, Chongqing Wanzhou District Center for Disease Control ...