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Non-negative Sparse Representation Based on Block NMF for Face Recognition., , , и . CCBR, том 8232 из Lecture Notes in Computer Science, стр. 26-33. Springer, (2013)Efficient learning of supervised kernels with a graph-based loss function., , , и . Inf. Sci., (2016)Learning Kernel in Kernel-Based LDA for Face Recognition Under Illumination Variations., , , и . IEEE Signal Process. Lett., 16 (12): 1019-1022 (2009)Importance-based distributed persistent coverage strategy over environmental hotspots using quadrotors: Algorithm and experiments., , и . J. Frankl. Inst., 361 (2): 994-1009 (2024)A survey of deep nonnegative matrix factorization., , и . Neurocomputing, (2022)A multi-view model for visual tracking via correlation filters., , , , , и . Knowl. Based Syst., (2016)Supervised Non-negative Matrix Factorization Induced by Huber Loss., , , и . ICIG (2), том 12889 из Lecture Notes in Computer Science, стр. 216-225. Springer, (2021)Kernel Subspace LDA with Self-Constructed Mercer Kernel for Face Recognition., , , и . CIS (1), стр. 194-199. IEEE Computer Society, (2008)Kernel Non-Negative Matrix Factorization Using Self-Constructed Cosine Kernel., , , и . CIS, стр. 186-190. IEEE, (2020)Automatic Parameter Determination Based on a Modified Discriminant Criterion for Face Recognition., и . CIS, стр. 1091-1094. IEEE Computer Society, (2011)