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