Concepedia

Low-rank tensor train for tensor robust principal component analysis

Jing‐Hua Yang, Xi-Le Zhao, Teng-Yu Ji, Tian-Hui Ma, Ting‐Zhu Huang

Applied Mathematics and Computation · 2019 · 128 citations · 38 references

Concepts

ComputingComputer ScienceData ScienceData MiningMachine LearningOptimizationDimension ReductionDimensionality ReductionMatrix FactorizationPattern RecognitionPrincipal Component AnalysisRepresentation LearningLow-rank Matrix FactorizationLow-rank OptimizationRobust Feature RepresentationRobust Principal Component AnalysisTensor Factorization

References

38

Tensor Decompositions and Applications

Tamara G. Kolda, Brett W. Bader · SIAM Review · 2009 · 10.5K citations

Computing, Computer Science, Neuroscience +12

Robust principal component analysis?

Emmanuel J. Candès, Xiaodong Li, Yi Ma et al. · Journal of the ACM · 2011 · 6.9K citations

Computing, Computer Science, Computer Vision +16

The Approximation of One Matrix by Another of Lower Rank

Carl Eckart, Gale Young · Psychometrika · 1936 · 3.8K citations

Computing, Data Science, Markov Decision Processes +9

Tensor-Train Decomposition

Ivan Oseledets · SIAM Journal on Scientific Computing · 2011 · 2.6K citations

Natural Sciences, Computer Science, Mathematics +17

Tensor Completion for Estimating Missing Values in Visual Data

Ji Liu, Przemysław Musialski, Peter Wonka et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2012 · 2.1K citations

Computing, Computer Science, Computer Vision +11