IEEE

Online Simplex-Structured Matrix Factorization

Abstract: Simplex-structured matrix factorization (SSMF) is a common task encountered in signal processing and machine learning. Minimum-volume constrained unmixing (MVCU) algorithms are among the ...
ConsumerAffairs

Matrix Absence Management Reviews

This profile has not been claimed by the company. See reviews below to learn more or submit your own review. How do I know I can trust these reviews about Matrix Absence Management? How do I know I ...
GitHub

PragyanTiwari/Matrix-Decomposition-Implementations

A comprehensive implementation of various Matrix Decomposition Techniques from the lens of Linear Algebra to produce efficient computing of SVD, PCA, Feature Selection & Data Analysis in Python. To ...
GitHub

EDGES is a spatially constrained non-negative matrix factorization (NMF) framework designed for gene expression denoising and prediction in spatial transcriptomic (ST) data.

X: shared genes by cells matrix of ST data. Y: shared genes by cells matrix of scRNA-seq data. Z: unique genes by cells matrix of scRNA-seq data. L1: cells by cells matrix. A precomputed normalized ...
BBC

Matrix and entrepreneurial structures

a good way of having different viewpoints and skills involved in a project provide staff with an opportunity to learn new skills from other members of the team which ...