Results 71 to 80 of about 1,727,048 (195)
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, Volume 28, Issue 17, 9 September 2026.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Chronic Diseases and Translational Medicine, Volume 12, Issue 3, Page 197-208, September 2026.Features the major cell type compositions among colon and liver metastasis. (A) The study design for single‐cell data analysis. (B) The annotated major cell types. Each type was labeled with a special color. (C) Dot plot of canonical marker genes for major cell types. (D) Bar plot of the percentage for each cell type in individuals. (E) Bar plot of the
Zhixun Zhao +10 more
wiley +1 more source
Occluded Face Recognition Using Correntropy-based Nonnegative Matrix Factorization
, 2021 Occluded face recognition is one the most interesting problems of applied computer vision. Among many face recognition approaches, the Nonnegative Matrix Factorization (NMF) turns out to be one of the popular techniques especially for part-based learning.
Ensari, Tolga +2 more
core +1 more source
Symmetric Nonnegative Matrix Factorization Based on Box-Constrained Half-Quadratic Optimization
IEEE Access, 2020 Nonnegative Matrix Factorization (NMF) based on half-quadratic (HQ) functions was proven effective and robust when dealing with data contaminated by continuous occlusion according to the half-quadratic optimization theory.
Bo-Wei Chen
doaj +1 more source
Semi-Supervised Nonnegative Matrix Factorization
, 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
MedComm – Oncology, Volume 5, Issue 3, September 2026.Integrated multi‐omics analysis defines an age‐resolved molecular–immune framework in colorectal cancer. Early‐onset tumors show reduced APC/KRAS alterations, frequent SMAD4 disruption, enriched PTPRK–RSPO3 fusions, and increased CD4+ memory T cells and mast cells with greater checkpoint responsiveness.
Yang Guo +15 more
wiley +1 more source
Nonnegative Matrix Factorization (NMF) with Heteroscedastic Uncertainties and Missing data
, 2016 Vectorized update rules for NMF with heteroscedastic measurements and the proof. The code NonnegMFPy is available at https://github.com/guangtunbenzhu/NonnegMFPy and can be installed through PyPI.
openaire +2 more sources
Nanoscale Mapping of Transition Metal Ordering in Individual LiNi0.5Mn1.5O4 Particles Using 4D‐STEM
Small Methods, Volume 10, Issue 18, 23 September 2026.ABSTRACT The electrochemical performance of the spinel LiNi0.5Mn1.5O4, a high‐voltage positive electrode material for Li‐ion batteries (LIBs), is influenced by the transition metal arrangement in the octahedral network, leading to disordered (Fd3̲m$Fd\underline 3 m$ S.G.) and ordered (P4332 S.G.) structures.
Gozde Oney +10 more
wiley +1 more source
Nonnegative Matrix Factorization Problem
, 2020 The Nonnegative Matrix Factorization (NMF) problem has been widely used to analyze high-dimensional nonnegative data and extract important features. In this paper, I review major concepts regarding NMF, some NMF algorithms and related problems including ...
An, Junda
core
On the clustering aspect of nonnegative matrix factorization [PDF]
, 2010 The clustering aspect of various nonnegative matrix factorization (NMF) objectives which include standard NMF, orthogonal NMF, sparse NMF, Semi-NMF, and Convex NMF have been reported in many papers.
Masashi Furukawa +3 more
core +1 more source