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Keyphrases
Nonnegative Tucker Decomposition
100%
Missing Data
100%
Factor Matrix
100%
Sparse Factor
100%
Nonnegative Tensor
66%
Tensor Data
66%
Noisy Observations
66%
Nonnegative Data
66%
Machine Learning
33%
Numerical Experiments
33%
Computer Vision
33%
Image Processing
33%
Synthetic Data
33%
Latent Factors
33%
Maximum Likelihood Estimation
33%
Sparsity
33%
Core Tensor
33%
Error Bound
33%
Additive White Gaussian Noise
33%
Loss Function
33%
Tensor Decomposition
33%
Laplace Noise
33%
Processing Machines
33%
Data Completion
33%
Minimax Lower Bound
33%
Poisson Observations
33%
Mathematics
Matrix (Mathematics)
100%
Nonnegative Tensor
66%
Image Processing
33%
Numerical Experiment
33%
Tensor
33%
Synthetic Data
33%
Upper Bound
33%
Maximum Likelihood
33%
Superiority
33%
Error Bound
33%
Minimax
33%
Random Noise
33%
Loss Function
33%
Latent Factor
33%
Tensor Decomposition
33%
Computer Science
Noisy Observation
100%
Machine Learning
50%
Learning System
50%
Gaussian White Noise
50%
Sparsity
50%
Synthetic Data
50%
Computer Vision
50%
Image Processing
50%
Likelihood Estimation
50%
maximum-likelihood
50%
Engineering
Matrix Factor
100%
Numerical Experiment
33%
Image Processing
33%
Gaussian White Noise
33%
Computervision
33%
Learning System
33%
Sparsity
33%
Maximum Likelihood Estimation
33%
Error Bound
33%
Loss Function
33%
Powerful Tool
33%
Latent Factor
33%
Noise Scenario
33%