Results 121 to 130 of about 1,698,574 (297)

Investigating the feature extraction capabilities of non-negative matrix factorisation algorithms for black-and-white images [PDF]

open access: yesITM Web of Conferences
Nonnegative matrix factorisation (NMF) is a class of matrix factorisation methods to approximate a nonnegative matrix as a product of two nonnegative matrices.
Liew How Hui   +2 more
doaj   +1 more source

An Implicit Nodal–Staggered Finite Difference Scheme for Damped Shear Beam Models Without Rotational Inertia

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We develop and analyze a fully discrete finite difference approximation for a damped shear beam model with mixed boundary conditions and no rotational inertia. The absence of a second‐order time derivative in the rotational equation gives rise to an asymmetric temporal structure.
Anderson de Jesus Araújo Ramos   +3 more
wiley   +1 more source

Relationship Matrix Nonnegative Decomposition for Clustering

open access: yes, 2011
Nonnegative matrix factorization (NMF) is a popular tool for analyzing the latent structure of nonnegative data. For a positive pairwise similarity matrix, symmetric NMF (SNMF) and weighted NMF (WNMF) can be used to cluster the data.
Jiang-She Zhang, Ji-Yuan Pan
core   +1 more source

Markov‐Associated Quadratic Stochastic Families and the Susceptible‐Infected‐Recovered (SIR) Model

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We introduce a Markov‐associated construction for quadratic stochastic families generated by a symmetric cubic stochastic matrix and a finite‐state homogeneous Markov semigroup. The constructed family is not assumed to be a classical quadratic stochastic process of type (A)$$ (A) $$ or type (B)$$ (B) $$; rather, it is a Markov‐associated ...
Taimun Qaisar   +3 more
wiley   +1 more source

Continuous Semi-Supervised Nonnegative Matrix Factorization

open access: yes, 2022
Nonnegative matrix factorization can be used to automatically detect topics within a corpus in an unsupervised fashion. The technique amounts to an approximation of a nonnegative matrix as the product of two nonnegative matrices of lower rank.
Lindstrom, Michael R.   +4 more
core  

Existence and Stability Analysis of Classical and Fractional‐Order Generalized Brusselator Reaction‐Diffusion System

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT The present work is devoted to establishing existence results and examining the stability properties of solutions associated with a generalized Brusselator reaction–diffusion system in both the classical and fractional‐order settings. The corresponding ODE and PDE formulations are considered to establish the global existence of solutions in ...
Fadia Haouam   +3 more
wiley   +1 more source

Singular M-matrices which may not have a nonnegative generalized inverse

open access: yesSpecial Matrices, 2014
A matrix A ∈ ℝn×n is a GM-matrix if A = sI − B, where 0 < ρ(B) ≤ s and B ∈WPFn i.e., both B and Bthave ρ(B) as their eigenvalues and their corresponding eigenvector is entry wise nonnegative.
Sushama Agrawal N.   +2 more
doaj   +1 more source

Semi-Supervised Nonnegative Matrix Factorization

open access: yes, 2010
Nonnegative matrix factorization (NMF) is a popular method for low-rank approximation of nonnegative matrix, providing a useful tool for representation learning that is valuable for clustering and classification.
Yoo, J   +5 more
core   +1 more source

Relationship Between Mean Kärger Model Water Exchange Rate and Intercellular Water Transition Rate

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To derive a quantitative relationship between the mean Kärger model (KM) water exchange rate and the mean intercellular water transition rate applicable to brain and other complex biological tissues. Theory and Methods The mean KM water exchange rate applies to any KM, accommodates an arbitrary number of compartments, and can be ...
Jens H. Jensen   +3 more
wiley   +1 more source

On the closest stable/unstable nonnegative matrix and related stability radii

open access: yes, 2018
We consider the problem of computing the closest stable/unstable nonnegative matrix to a given real matrix. The distance between matrices is measured in the Frobenius norm.
Protasov, Vladimir Yu.   +1 more
core   +1 more source

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