Results 61 to 70 of about 7,807 (178)
Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science
Modern Agriculture, Volume 3, Issue 2, December 2025.Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song +17 more
wiley +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
Clustering and Latent Semantic Indexing Aspects of the Nonnegative Matrix Factorization [PDF]
, 2011 This paper provides a theoretical support for clustering aspect of the nonnegative matrix factorization (NMF). By utilizing the Karush-Kuhn-Tucker optimality conditions, we show that NMF objective is equivalent to graph clustering objective, so ...
Mirzal, Andri
core
Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation
, 2018 In this paper, we propose a general framework to accelerate significantly the algorithms for nonnegative matrix factorization (NMF). This framework is inspired from the extrapolation scheme used to accelerate gradient methods in convex optimization and ...
Ang, Andersen Man Shun, Gillis, Nicolas
core +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
Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing [PDF]
, 2012 Nonnegative matrix factorization (NMF) has become a very popular technique in machine learning because it automatically extracts meaningful features through a sparse and part-based representation.
Gillis, Nicolas
core
EDS Analysis for Petrology: A Probabilistic Framework With GPyEDS
Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.Abstract Microtextural and chemical data from minerals in igneous rocks are critical for unpacking and developing understanding of processes in magmatic systems. Recent advancements leveraging unsupervised machine learning methods offer novel approaches for phase classification without requiring prior knowledge of phases or chemistry.
Norbert Toth +3 more
wiley +1 more source
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting
, 2017 In this work, we introduce a highly efficient algorithm to address the nonnegative matrix underapproximation (NMU) problem, i.e., nonnegative matrix factorization (NMF) with an additional underapproximation constraint.
Sapiro, Guillermo, Tepper, Mariano
core +1 more source
Advanced Science, Volume 12, Issue 43, November 20, 2025.This work constructs magnetic nanoparticles (MNPs) and incorporates them with silver rods coated with 125I to form a novel composite seed, which exhibits direction‐independent and self‐regulated heating efficiency, as well as the capacity of preventing MNPs leakage and enabling repeated hyperthermia.
Bin Xu +22 more
wiley +1 more source
New trend in molecular diagnostics: Insights from the tumor microenvironment
Interdisciplinary Medicine, Volume 3, Issue 6, November 2025.The graphical abstract outline the key elements in TME‐based molecular diagnostics, including biomarker exploration, diagnostic methods, and diagnostic models. Source: Created with BioRender.com. Abstract Molecular diagnosis has revolutionized cancer precision medicine.
Baiyuan Fan +3 more
wiley +1 more source