Results 91 to 100 of about 23,571 (300)
Blind source separation with optimal transport non-negative matrix factorization
EURASIP Journal on Advances in Signal Processing, 2018 Optimal transport as a loss for machine learning optimization problems has recently gained a lot of attention. Building upon recent advances in computational optimal transport, we develop an optimal transport non-negative matrix factorization (NMF ...
Antoine Rolet +3 more
doaj +1 more source
Ordinal Non-negative Matrix Factorization for Recommendation
CoRR, 2020 Accepted for publication at ICML ...
Gouvert, Olivier +2 more
openaire +5 more sources
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Application of non-negative matrix factorisation to musical instrument classification [PDF]
, 2006 20.08.13 KB.
Benetos, Emmanouil +2 more
core
Robust Semi-Supervised Non-Negative Matrix Factorization With Structured Normalization
IEEE Access, 2019 Non-negative matrix factorization (NMF) approximates a non-negative data matrix with the product of two low-rank non-negative matrices by minimizing the cost of such approximation.
Liujing Wang +4 more
doaj +1 more source
Frontiers in Neurorobotics, 2020 Microexpression is usually characterized by short duration and small action range, and the existing general expression recognition algorithms do not work well for microexpression.
Junli Gao +4 more
doaj +1 more source
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
NIMFA: A Python Library for Nonnegative Matrix Factorization [PDF]
, 2012 NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factorization methods, initialization approaches, and quality scoring.
Zupan, Blaz, Zitnik, Marinka
core
Multi-Focus Image Fusion Based on WNMF and Focal Point Position Analysis
工程科学与技术, 2011 :In this paper, a multi-focus image fusion method based on the weighted non-negative matrix factorization is presented to improve image fusion method based on non-negative matrix factorization.
A Du Jian Hua
doaj
Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer
Molecular Oncology, EarlyView.Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni +11 more
wiley +1 more source