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Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets.

, , , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1367-1375. JMLR.org, (2015)

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Total Least Norm Formulation and Solution for Structured Problems., , and . SIAM J. Matrix Anal. Appl., 17 (1): 110-126 (1996)Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization., , and . CoRR, (2017)Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares., , and . BIBE, page 1147-1151. IEEE Computer Society, (2007)A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria., , and . SDM, page 771-782. SIAM / Omnipress, (2011)On the equivalence and convergence of parallel Jacobi SVD algorithms.. Cornell University, USA, (1987)Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization., , , and . HiPC, page 141-150. IEEE, (2020)A control loop structure based on semi-nonnegative matrix factorization for input-coupled systems., , , and . ACC, page 3484-3489. IEEE, (2012)Incremental and Decremental Least Squares Support Vector Machine and Its Application to Drug Design., and . CSB, page 656-657. IEEE Computer Society, (2004)Multi-scale Nystrom Method., , , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 68-76. PMLR, (2018)Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization., , and . BIBE, page 263-269. IEEE Computer Society, (2007)