Nonnegative Matrix FactorizationMatrix CompletionRecommendationAdversarial NoiseOutlier DetectionLinear ModelNonnegative Matrix Factorization (NMF) is a popular tool to estimate the missing entries of adataset under the assumption that the true data has a low-dimensional factorization. Oneexample of such a ...
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Graph regularized nonnegative matrix factorization for data representation. IEEE Trans Pattern Anal Mach Intell, 2011, 33: 1548–1560 Article MATH Google Scholar Perozzi B, Al-Rfou R, Skiena S. DeepWalk: online learning of social representations. In: Proceedings of the 20th ACM SIGKDD ...
Enhancing link prediction through adversarial training in deep Nonnegative Matrix Factorization Adversarial trainingGeneralizationRobustnesslink prediction is a fundamental problem in complex network analysis, aimed at predicting missing or forthcoming ... R Mahmoodi,SA Seyedi,A Abdollahpouri,... - Engineer...
Multiple incomplete views clustering via weighted nonnegative matrix factorization with l2,1 regularization. In: Joint European conference on machine learning and knowledge discovery in databases Springer; 2015. p. 318–34. Hu M, Chen S. Doubly aligned incomplete multi-view clustering. arXiv preprint...
This model comprises multi-convolution with a clustering layer that utilizes Group-Sparse Nonnegative Matrix Factorization (GSNMF) for clustering highly correlated samples. By learning informative and discriminative latent variables across labels, GSNMF helps identify and select samples clo...
MATRIX decompositionNONNEGATIVE matricesMACHINE learningCOMPUTER hackingCLASSIFICATION algorithmsMachine learning has been applied in continuous-variable quantum key distribution (CVQKD) systems to address the growing threat of quantum hacking attacks. However, the use of machine learning algorithms for ...
Adaptive graph nonnegative matrix factorization with the self-paced regularization. Appl. Intell. 2023, 53, 15818–15835. [Google Scholar] [CrossRef] Pan, B.; Li, C.; Che, H.; Leung, M.F.; Yu, K. Low-Rank Tensor Regularized Graph Fuzzy Learning for Multi-View Data Processing. IEEE...