Results 41 to 50 of about 7,782 (177)
Engineering Reports, Volume 8, Issue 1, January 2026.This workflow presents a complete pipeline for audio data processing, beginning with format conversion, channel adjustments, and cleaning, followed by enhancement and visualization techniques. It further applies signal separation using FastICA, postprocessing, and evaluation metrics (SDR, SIR, SAR) to improve audio analysis and support future research ...
Md. Razu Ahmed +3 more
wiley +1 more source
Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation
Complexity, 2018 Obtaining an optimum data representation is a challenging issue that arises in many intellectual data processing techniques such as data mining, pattern recognition, and gene clustering.
Wei Jiang +4 more
doaj +1 more source
Latitude: A Model for Mixed Linear-Tropical Matrix Factorization
, 2018 Nonnegative matrix factorization (NMF) is one of the most frequently-used matrix factorization models in data analysis. A significant reason to the popularity of NMF is its interpretability and the `parts of whole' interpretation of its components ...
Hook, James +2 more
core +1 more source
Algorithms for nonnegative matrix factorization with the beta-divergence [PDF]
, 2011 This paper describes algorithms for nonnegative matrix factorization (NMF) with the beta-divergence (beta-NMF). The beta-divergence is a family of cost functions parametrized by a single shape parameter beta that takes the Euclidean distance, the ...
Févotte, Cédric, Idier, Jérôme
core +5 more sources
Advanced Science, Volume 12, Issue 47, December 18, 2025.The origin and functional heterogeneity of pericytes in glioblastoma (GBM) remain unclear. This study identifies tumor‐originated pericytes (T‐PCs) and normal‐originated pericytes as two distinctive populations in human GBM using single‐cell RNA‐sequencing.
Cuiying Chu +16 more
wiley +1 more source
Adaptive Graph Regularization Discriminant Nonnegative Matrix Factorization for Data Representation
IEEE Access, 2019 Nonnegative matrix factorization, as a classical part-based representation method, has been widely used in pattern recognition, data mining and other fields.
Lin Zhang +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Hyperspectral unmixing (HU) has become an important technique in exploiting hyperspectral data since it decomposes a mixed pixel into a collection of endmembers weighted by fractional abundances.
E. M. M. B. Ekanayake +7 more
doaj +1 more source
HemaSphere, Volume 9, Issue 12, December 2025.Abstract Clonal hematopoiesis (CH), a prevalent and premalignant state in the elderly, has been detected in young individuals under selective pressures such as hematopoietic cell transplantation (HCT). However, the origin of CH and mutational processes underlying CH driver mutations in young blood systems remain unclear.
Lucca L. M. Derks +11 more
wiley +1 more source
A flexible R package for nonnegative matrix factorization
BMC Bioinformatics, 2010 Background Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face recognition and text mining. Recent applications of NMF in bioinformatics have
Seoighe Cathal, Gaujoux Renaud
doaj +1 more source
Nonnegative matrix factorization: an analytical and interpretive tool in computational biology. [PDF]
PLoS Computational Biology, 2008 In the last decade, advances in high-throughput technologies such as DNA microarrays have made it possible to simultaneously measure the expression levels of tens of thousands of genes and proteins.
Karthik Devarajan
doaj +1 more source