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Hierarchical Representation Using NMF., and . ICONIP (1), volume 8226 of Lecture Notes in Computer Science, page 466-473. Springer, (2013)FRAUDAR: Bounding Graph Fraud in the Face of Camouflage., , , , , and . KDD, page 895-904. ACM, (2016)Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms., , , , and . PAKDD (2), volume 9652 of Lecture Notes in Computer Science, page 376-387. Springer, (2016)Hierarchical feature extraction by multi-layer non-negative matrix factorization network for classification task., , , and . Neurocomputing, (2015)HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data., , , , , and . Proc. VLDB Endow., 11 (11): 1496-1508 (2018)Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis., , , , , , , and . ICDM, page 871-876. IEEE Computer Society, (2016)Hierarchical Data Representation Model - Multi-layer NMF, and . ICLR (Workshop Poster), (2013)Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data., , , , , , , and . IEEE Trans. Knowl. Data Eng., 31 (12): 2304-2318 (2019)TensorCast: forecasting and mining with coupled tensors., , , and . Knowl. Inf. Syst., 59 (3): 497-522 (2019)GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series., , , , , , and . ICDM Workshops, page 494-501. IEEE Computer Society, (2017)