Výsledky vyhledávání - Kernel robust convex non-negative matrix factorization

Adversarial Attack Defense Method for a Continuous-Variable Quantum Key Distribution System Based on Kernel Robust Manifold Non-Negative Matrix Factorization.

Autoři: Fu, Yuwen Xia, E. Huang, Duan a další

Zdroj: Applied Sciences (2076-3417); Sep2023, Vol. 13 Issue 17, p9928, 14p

Témata: MATRIX decomposition, NONNEGATIVE matrices, MACHINE learning, COMPUTER hacking, CLASSIFICATION algorithms

A novel industrial process fault monitoring method based on kernel robust non-negative matrix factorization.

Autoři: Wang, Yinsong Sun, Tianshu Ding, Mengting a další

Zdroj: Measurement Science & Technology; Oct2021, Vol. 32 Issue 10, p1-11, 11p

Témata: MATRIX decomposition, NONNEGATIVE matrices, VECTOR spaces, ALGORITHMS, SPARSE matrices, PRINCIPAL components analysis, MANUFACTURING processes, FACTORIZATION

Clustering Single-Cell RNA-Seq Data with Low-Rank Matrix Factorization and Local Graph Regularization.

Autoři: Yu Y Zhang W Zheng X a další

Zdroj: Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2025 Sep 02. Date of Electronic Publication: 2025 Sep 02.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE

Robust Bi-Stochastic Graph Regularized Matrix Factorization for Data Clustering.

Autoři: Wang, Qi He, Xiang Jiang, Xu a další

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Jan2022, Vol. 44 Issue 1, p390-403, 14p

Témata: MATRIX decomposition, FACTORIZATION, NONNEGATIVE matrices, SPARSE matrices, STOCHASTIC matrices, TASK analysis

Optimization for robust and interpretable learning on graphs and images

Autoři: Aburidi, Mohammed J, Aburidi, Mohammed J

Témata: Applied mathematics, Computer science, Deep Unrolling, Graph Kernels, Graph matching, Graph Neural Netwroks, Optimal Transport, Optimization, Dissertations, Academic Applied mathematics University of California, Merced

URL: https://escholarship.org/uc/item/6mb9w26q
https://escholarship.org/content/qt6mb9w26q/qt6mb9w26q.pdf

Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization.

Autoři: Gillis, Nicolas Hien, Le Thi Khanh Leplat, Valentin a další

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug2022, Vol. 44 Issue 8, p4052-4064, 13p

Témata: NONNEGATIVE matrices, MATRIX decomposition, LINEAR programming, IMAGE reconstruction, DIMENSION reduction (Statistics)

On Identifiability of Nonnegative Matrix Factorization.

Autoři: Xiao Fu Kejun Huang Sidiropoulos, Nicholas D.

Zdroj: IEEE Signal Processing Letters; Mar2018, Vol. 25 Issue 3, p328-332, 5p

Témata: NONNEGATIVE matrices, FACTORIZATION, ROBUST convex optimization, LATENT structure analysis, COGNITIVE radio

Robust Dolphin Whistle Detection Based on Dually-Regularized Non-Negative Matrix Factorization in Passive Acoustic Monitoring.

Autoři: Li, Lei Shao, Xinrui Huang, Shuping a další

Zdroj: Journal of Marine Science & Engineering; Nov2025, Vol. 13 Issue 11, p2164, 24p

Témata: ACOUSTIC signal detection, BIOACOUSTICS, SIGNAL processing, UNDERWATER noise, DATA quality, MARINE resources conservation, MATRIX decomposition, SOUND waves

Acoustic virtual sensors for industrial process monitoring using non-negative matrix factorization.

Autoři: Luzon-Alvarez, Clara Cobos, Maximo Lopez-Ballester, Jesus a další

Zdroj: EURASIP Journal on Audio Speech & Music Processing; 8/1/2025, Vol. 2025 Issue 1, p1-20, 20p

Témata: MATRIX decomposition, PROCESS optimization, CONDITION-based maintenance, OUTLIER detection, MANUFACTURING industries, FAULT diagnosis, SURFACE acoustic wave sensors, MACHINERY testing

Pairwisely constrained symmetric non-negative matrix factorization for link prediction in complex networks using degree-related clustering coefficient and improved closeness centrality.

Autoři: Chen, Guangfu Xie, Bin Li, Xiaofei a další

Zdroj: Cluster Computing; Oct2025, Vol. 28 Issue 5, p1-26, 26p

Témata: MATRIX decomposition, NONNEGATIVE matrices, PREDICTION algorithms, SYMMETRIC matrices, ARTIFICIAL intelligence

Sparse robust graph-regularized non-negative matrix factorization based on correntropy.

Autoři: Wang, Chuan-Yuan Gao, Ying-Lian Liu, Jin-Xing a další

Zdroj: Journal of Bioinformatics & Computational Biology; Feb2021, Vol. 19 Issue 1, pN.PAG-N.PAG, 24p

Témata: NONNEGATIVE matrices, MATRIX decomposition, FACTORIZATION, MATHEMATICAL regularization, FEATURE selection, EUCLIDEAN distance, KERNEL functions

scRNMF: An imputation method for single-cell RNA-seq data by robust and non-negative matrix factorization.

Autoři: Qian, Yuqing Zou, Quan Zhao, Mengyuan a další

Zdroj: PLoS Computational Biology; 8/8/2024, Vol. 20 Issue 8, p1-22, 22p

Témata: NONNEGATIVE matrices, MATRIX decomposition, GENE expression, RNA sequencing, DATA recovery

An Autoencoder-like Non-Negative Matrix Factorization with Structure Regularization Algorithm for Clustering.

Autoři: Gao, Haiyan Zhong, Ling

Zdroj: Symmetry (20738994); Aug2025, Vol. 17 Issue 8, p1283, 31p

Témata: CLUSTERING algorithms, AUTOENCODERS, MATHEMATICAL regularization, DIMENSIONAL reduction algorithms, DATA mining, MATRIX decomposition, PRINCIPAL components analysis

Nonnegative matrix factorization incorporating domain specific constraints for four dimensional scanning transmission electron microscopy.

Autoři: Kimoto, Koji Uesugi, Fumihiko Harano, Koji a další

Zdroj: Scientific Reports; 11/7/2025, Vol. 15 Issue 1, p1-14, 14p

Témata: SCANNING transmission electron microscopy, NONNEGATIVE matrices, DATA extraction, DIMENSIONAL reduction algorithms, HIERARCHICAL clustering (Cluster analysis), ELECTRON microscopy, FEATURE extraction, CLUSTERING algorithms

Orthogonal-Constrained Graph Non-Negative Matrix Factorization for Clustering.

Autoři: Li, Wen Zhao, Junjian Chen, Yasong

Zdroj: Symmetry (20738994); Jul2025, Vol. 17 Issue 7, p1154, 33p

Témata: MATRIX decomposition, NONNEGATIVE matrices, COMPUTATIONAL complexity, ALGORITHMS

Deep Non-Negative Matrix Factorization Architecture Based on Underlying Basis Images Learning.

Autoři: Zhao, Yang Wang, Huiyang Pei, Jihong

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Jun2021, Vol. 43 Issue 6, p1897-1913, 17p

Témata: MATRIX decomposition, NONNEGATIVE matrices, SPARSE matrices, PATTERN recognition systems, LINEAR programming

Dynamic PET Image Reconstruction via Non-Negative INR Factorization.

Autoři: Zhang, Chaozhi Ding, Wenxiang He, Roy Y. a další

Zdroj: SIAM Journal on Imaging Sciences; 2025, Vol. 18 Issue 4, p2206-2235, 30p

Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering.

Autoři: Ma, Hu Ma, Ziping Li, Huirong a další

Zdroj: Mathematics (2227-7390); Dec2024, Vol. 12 Issue 23, p3656, 32p

Témata: LAPLACIAN matrices, LOW-rank matrices, NONNEGATIVE matrices, MATRIX decomposition, SPARSE matrices

Robust self supervised symmetric nonnegative matrix factorization to the graph clustering.

Autoři: Ru, Yi Gruninger, Michael Dou, YangLiu

Zdroj: Scientific Reports; 3/1/2025, Vol. 15 Issue 1, p1-13, 13p

Témata: MATRIX decomposition, NONNEGATIVE matrices, ARTIFICIAL intelligence, INFORMATION storage & retrieval systems, SYMMETRIC matrices

A remark on non-negative matrix factorization.

Autoři: Bhatt, Vineet Petwal, Kailash Chandra Kumar, Sunil a další

Zdroj: AIP Conference Proceedings; 11/8/2022, Vol. 2481 Issue 1, p1-9, 9p

Témata: MATRIX decomposition, NONNEGATIVE matrices, FACTORIZATION, EQUATIONS