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Slim Is Better: Transform-Based Tensor Robust Principal Component Analysis
Lin Chen
, Li Ge
, Xue Jiang
,
Hongbin Li
, Martin Haardt
Department of Electrical and Computer Engineering
School of Engineering and Science
Stevens Institute of Technology
Research output
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Keyphrases
Tensor Robust Principal Component Analysis (TRPCA)
100%
Transform-based Tensor
100%
Recovery Guarantee
50%
Performance Improvement
25%
Unresolved Issues
25%
Invertible
25%
Incoherence
25%
Inner Product
25%
Existing Condition
25%
Discrete Fourier Transform
25%
Self-adjoint
25%
Low-rank Tensor Recovery
25%
Recovery Bound
25%
Mathematics
Tensor
100%
Principal Component Analysis
100%
Synthetic Data
14%
Real Data
14%
Superiority
14%
Inner Product
14%
Self-Adjoint
14%
Discrete Fourier Transform
14%
Rank Tensor
14%
Computer Science
Principal Components
100%
Component Analysis
100%
Experimental Result
25%
Fourier Transform
25%
Condition Number
25%