Optimal High-Order Tensor SVD via Tensor-Train Orthogonal Iteration is a research paper published in IEEE Transactions on Information Theory (2022). On theSindex it has a DataRank of 0. It has been cited 19 times.
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National Science Foundation
Grant: CAREER-1944904
National Science Foundation
Grant: DMS-1811868
National Institutes of Health
Grant: R01GM131399
NSF
Grant: DMS-1707605
NSF
Grant: DMS-1913149
National Science Foundation
Grant: 1944904
CAREER: Inference for High-Dimensional Structures via Subspace Learning: Statistics, Computation, and Beyond
National Science Foundation
Grant: 1811868
Dimension reduction for high-dimensional high-order data
National Institutes of Health
Grant: 7R01GM131399-02
Construction of cell specific gene co-regulations signatures based on single cell transcriptomics analysis
National Science Foundation
Grant: 1913149
Statistical Learning Problems with Complex Stochastic Models
National Science Foundation
Grant: 1707605
Statistical Problems in Large Volatility Matrix Estimation and Quantum Annealing Based Computing
FWCI
1.64
Citation Percentile
0.8%
Citation Trend
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