Results 61 to 70 of about 7,904 (176)
Hyperspectral Unmixing Using Robust Deep Nonnegative Matrix Factorization
Remote Sensing, 2023 Nonnegative matrix factorization (NMF) and its numerous variants have been extensively studied and used in hyperspectral unmixing (HU). With the aid of the designed deep structure, deep NMF-based methods demonstrate advantages in exploring the ...
Risheng Huang +4 more
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
High ALG1 Expression Is Correlated With Poor Prognosis and the Immune Microenvironment in Glioma
Journal of Cellular and Molecular Medicine, Volume 30, Issue 8, April 2026.ABSTRACT Glioma is the most prevalent primary tumour in the central nervous system. This study investigates ALG1 expression in glioma and its clinical significance. Using the TCGA and CGGA databases, a bioinformatics analysis examines ALG1 expression, its prognostic value, and its link to the immune microenvironment. Clinical samples are analysed using
Shuxiang Li +10 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
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
Advanced Science, Volume 13, Issue 12, 27 February 2026.Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu +20 more
wiley +1 more source
, 2015 In this paper, we propose a missing spectrum data recovery technique for cognitive radio (CR) networks using Nonnegative Matrix Factorization (NMF). It is shown that the spectrum measurements collected from secondary users (SUs) can be factorized as ...
Joneidi, Mohsen +3 more
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
AI‐enhanced Centiloid quantification of amyloid PET images
Alzheimer's &Dementia, Volume 22, Issue 2, February 2026.Abstract INTRODUCTION The Centiloid scale is the standard for amyloid (Aβ) PET quantification in research and clinical settings. However, variability between tracers and scanners remains a challenge. METHODS This study introduces DeepSUVR, a deep learning method to correct Centiloid quantification, by penalizing implausible longitudinal trajectories ...
Pierrick Bourgeat +44 more
wiley +1 more source
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