Výsledky vyhledávání - convex non-negative matrix factorization

On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction

Autoři: Ida Egendal Rasmus Froberg Brøndum Marta Pelizzola a další

Zdroj: Egendal, I, Brøndum, R F, Pelizzola, M, Hobolth, A & Bøgsted, M 2025, 'On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction', Journal of Computational Biology, vol. 32, no. 5, pp. 461-472. https://doi.org/10.1089/cmb.2024.0784
Egendal, I, Brøndum, R F, Pelizzola, M, Hobolth, A & Bøgsted, M 2025, 'On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction', Journal of computational biology : a journal of computational molecular cell biology, vol. 32, no. 5, pp. 461-472. https://doi.org/10.1089/cmb.2024.0784

Témata: non-negative matrix factorization, convex non-negative matrix factorization, mutational signatures, non-negative autoencoders

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40113251

Dynamic Topic Analysis in Academic Journals using Convex Non-negative Matrix Factorization Method

Autoři: Yang, Yang Zhang, Tong Wu, Jian a další

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Applications (stat.AP), Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Mathematics - Optimization and Control, Statistics - Applications, Information Retrieval (cs.IR), Computer Science - Information Retrieval, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2504.08743

Community Detection in Signed Networks Based on Normalized Laplacian Matrix and Convex Non-negative Matrix Factorization

Autoři: Yibo Zhang Tian Nan Zhaozhi Zhang

Zdroj: 2023 2nd International Conference on Automation, Robotics and Computer Engineering (ICARCE). :1-5

Convex Non-Negative Matrix Factorization With Adaptive Graph for Unsupervised Feature Selection

Autoři: Aihong Yuan Mengbo You Dongjian He a další

Zdroj: IEEE Transactions on Cybernetics. 52:5522-5534

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/33237876
https://pubmed.ncbi.nlm.nih.gov/33237876/
https://www.ncbi.nlm.nih.gov/pubmed/33237876
https://ieeexplore.ieee.org/document/9271922

Convex Non-negative Matrix Factorization Through Quantum Annealing

Autoři: Zaiou, Ahmed Matei, Basarab Bennani, Younès a další

Zdroj: 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). :1253-1258

Témata: Computer Science - Machine Learning, Statistics - Machine Learning, 0101 mathematics, 01 natural sciences

Přístupová URL adresa: http://arxiv.org/abs/2203.15634

Convex Hull Convolutive Non-negative Matrix Factorization Based Speech Enhancement For Multimedia Communication

Autoři: Dongxia Wang Jie Cui Jinghua Wang a další

Zdroj: 2022 6th International Conference on Cryptography, Security and Privacy (CSP). :138-142

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Total Variation Constrained Graph-Regularized Convex Non-Negative Matrix Factorization for Data Representation

Autoři: Miao Tian Chengcai Leng Haonan Wu a další

Zdroj: IEEE Signal Processing Letters. 28:126-130

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://ieeexplore.ieee.org/document/9309067
https://ieeexplore.ieee.org/abstract/document/9309067
https://ui.adsabs.harvard.edu/abs/2021ISPL...28..126T/abstract
https://dblp.uni-trier.de/db/journals/spl/spl28.html#TianLWB21
https://ieeexplore.ieee.org/document/9309067

An interior-point algorithm for linearly constrained convex optimization based on kernel function and application in non-negative matrix factorization

Autoři: Z. Moaberfard S. Fathi-Hafshejani

Zdroj: Optimization and Engineering. 21:1019-1051

Témata: 0211 other engineering and technologies, 02 engineering and technology

Přístupová URL adresa: https://link.springer.com/article/10.1007/s11081-020-09514-x

Risk Budget Portfolios With Convex Non-negative Matrix Factorization

Autoři: Spilak, Bruno Härdle, Wolfgang Karl

Zdroj: SSRN Electronic Journal.

Témata: FOS: Computer and information sciences, 05 social sciences, Econometrics (econ.EM), Machine Learning (stat.ML), 02 engineering and technology, Statistics - Applications, FOS: Economics and business, Portfolio Management (q-fin.PM), Statistics - Machine Learning, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Applications (stat.AP), Quantitative Finance - Portfolio Management, Economics - Econometrics

Přístupová URL adresa: http://arxiv.org/abs/2204.02757

Clustering by Orthogonal Non-negative Matrix Factorization: A Sequential Non-convex Penalty Approach

Autoři: Shuai Wang Ying Cui Jong-Shi Pang a další

Zdroj: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :5576-5580

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/icassp/icassp2019.html#WangC0P19
https://ieeexplore.ieee.org/abstract/document/8683466
http://dblp.uni-trier.de/db/conf/icassp/icassp2019.html#WangC0P19

Convex Non-negative Matrix Factorization Through Quantum Annealing

Autoři: Zaiou, Ahmed Matei, Basarab Bennani, Younès a další

Témata: Statistics - Machine Learning, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2203.15634

Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours

Autoři: Vilamala Muñoz, Albert Lisboa, Paulo J G Ortega Martorell, Sandra a další

Přispěvatelé: Vilamala Muñoz, Albert Lisboa, Paulo J G Ortega Martorell, Sandra a další

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Témata: Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC], Tumors -- Diagnosis, Discriminant Convex Non-negative Matrix Factorization, 03 medical and health sciences, 0302 clinical medicine, Brain tumours, Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica, Magnetic resonance spectroscopy, 0202 electrical engineering, electronic engineering, information engineering, Source separation, 02 engineering and technology, Tumors -- Models matemàtics

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/2117/20446
https://dblp.uni-trier.de/db/journals/prl/prl34.html#VilamalaLOV13
https://www.sciencedirect.com/science/article/pii/S0167865513002213
http://ui.adsabs.harvard.edu/abs/2013PaReL..34.1734V/abstract
https://upcommons.upc.edu/handle/2117/20446
https://core.ac.uk/display/41772337
http://www.sciencedirect.com/science/article/pii/S0167865513002213

Automated Quality Control for Proton Magnetic Resonance Spectroscopy Data Using Convex Non-negative Matrix Factorization

Autoři: Mocioiu, Victor Kyathanahally, Sreenath P. Arús, Carles a další

Přispěvatelé: Mocioiu, Victor Kyathanahally, Sreenath P. Arús, Carles a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783319317434
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Témata: Informàtica::Intel·ligència artificial::Aprenentatge automàtic [Àrees temàtiques de la UPC], Convex non-negative matrix factorization, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Quality control, Decision support systems, Brain tumors, 03 medical and health sciences, Sistemes d'ajuda a la decisió, 0302 clinical medicine, Pattern recognition, Magnetic resonance spectroscopy, Machine learning, Brain -- Tumors -- Diagnosis, Cervell -- Tumors -- Diagnòstic

Popis souboru: application/pdf

Přístupová URL adresa: https://upcommons.upc.edu/bitstream/2117/99395/3/159_Victor_ACCEPTEDandRESUBMITTED.pdf
http://hdl.handle.net/2117/99395
https://core.ac.uk/display/81579720
https://dblp.uni-trier.de/db/conf/iwbbio/iwbbio2016.html#MocioiuKAVJ16
https://link.springer.com/chapter/10.1007/978-3-319-31744-1_62/fulltext.html
https://link.springer.com/chapter/10.1007%2F978-3-319-31744-1_62
https://doi.org/10.1007/978-3-319-31744-1_62
https://upcommons.upc.edu/bitstream/2117/99395/3/159_Victor_ACCEPTEDandRESUBMITTED.pdf
https://hdl.handle.net/2117/99395
https://doi.org/10.1007/978-3-319-31744-1_62

A non-convex optimization framework for large-scale low-rank matrix factorization

Autoři: Sajad Fathi Hafshejani Saeed Vahidian Zahra Moaberfard a další

Zdroj: Machine Learning with Applications, Vol 10, Iss , Pp 100440- (2022)

Témata: Low-rank, Matrix factorization, Non negative matrix factorization (NMF), Optimization, Cybernetics, Q300-390, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666827022001153; https://doaj.org/toc/2666-8270

Přístupová URL adresa: https://doaj.org/article/943db972c2bb452bb5865e31f1de3a42

A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors

Autoři: Vilamala Muñoz, Albert Belanche Muñoz, Luis Antonio Vellido Alcacena, Alfredo a další

Přispěvatelé: Vilamala Muñoz, Albert Belanche Muñoz, Luis Antonio Vellido Alcacena, Alfredo a další

Zdroj: Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Témata: Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC], 0301 basic medicine, Àrees temàtiques de la UPC::Informàtica::Enginyeria del software, Informàtica::Enginyeria del software [Àrees temàtiques de la UPC], Brain, Neuroimaging, Medicine--Data processing, Praseodymium alloys, Bayesian networks [Engineering controlled terms], Engineering controlled terms: Bayesian networks, 7. Clean energy, Medicina--Informàtica, 03 medical and health sciences, 0302 clinical medicine, 13. Climate action, Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica, Pattern recognition, Magnetic resonance spectroscopy, Blind source separation, Tumors

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/2117/24405
https://upcommons.upc.edu/handle/2117/24405
https://ieeexplore.ieee.org/document/6858550/
https://dblp.uni-trier.de/db/conf/prni/prni2014.html#VilamalaMV14
https://hdl.handle.net/2117/24405
https://doi.org/10.1109/prni.2014.6858550

Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data

Autoři: Shrikanth S. Narayanan Colin Vaz Asterios Toutios

Zdroj: Interspeech 2016. :963-967

Témata: 0301 basic medicine, 03 medical and health sciences, 0302 clinical medicine

On the Relation Between Autoencoders and Non-negative Matrix Factorization, and Their Application for Mutational Signature Extraction

Autoři: Egendal, Ida Brøndum, Rasmus Froberg Pelizzola, Marta a další

Témata: Statistics - Applications, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2405.07879

Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem

Autoři: Gašper Petelin Rok Hribar Timotej Hrga a další

Přispěvatelé: Gašper Petelin Rok Hribar Timotej Hrga a další

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Journal of Global Optimization

Témata: Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC], FOS: Computer and information sciences, 0301 basic medicine, MATLAB, Programari, 02 engineering and technology, Python (Computer program language), non-negative matrix factorization, 03 medical and health sciences, metoda projiciranega gradienta, Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica, Computer Science - Data Structures and Algorithms, projected gradient method, 0202 electrical engineering, electronic engineering, information engineering, Data Structures and Algorithms (cs.DS), Computer software, metoda negibne točke, fixed point method, ADAM, Non-negative matrix factorization, Block coordinate descent, Projected gradient method, block coordinate descent, Fixed point method, bločno koordinatni spust, adaptive moment estimation method, negativna matrična faktorizacija

Popis souboru: application/pdf; text/url

Přístupová URL adresa: http://arxiv.org/pdf/2012.05963
http://arxiv.org/abs/2012.05963
https://arxiv.org/abs/2012.05963
https://dblp.uni-trier.de/db/journals/corr/corr2012.html#abs-2012-05963
https://upcommons.upc.edu/handle/2117/354058
https://link.springer.com/article/10.1007/s10898-021-01074-3
https://arxiv.org/pdf/2012.05963
https://hdl.handle.net/2117/354058
https://doi.org/10.1007/s10898-021-01074-3
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=141007
https://doi.org/10.1007/s10898-021-01074-3
https://hdl.handle.net/20.500.12556/RUL-141007

Convex non-negative matrix factorization for automatic music structure identification

Autoři: Tristan Jehan Oriol Nieto

Zdroj: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. :236-240

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/icassp/icassp2013.html#NietoJ13
https://ieeexplore.ieee.org/document/6637644/
https://doi.org/10.1109/ICASSP.2013.6637644
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6637644

Convex non-negative matrix factorization for massive datasets

Autoři: Mirwaes Wahabzada Christian Bauckhage Christian Thurau a další

Zdroj: Knowledge and Information Systems. 29:457-478

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/kais/kais29.html#ThurauKWB11
https://link.springer.com/article/10.1007/s10115-010-0352-6
https://rd.springer.com/article/10.1007/s10115-010-0352-6