Low-Rank Matrix Completion with Poisson Observations via Nuclear Norm and Total Variation Constraints

Keyphrases

• Nuclear Norm 100%
• Poisson Observations 100%
• Low-rank Matrix Completion 100%
• Total Variation Constraint 100%
• Low-rank 75%
• Real Image 50%
• Total Variation Regularization 50%
• Poisson Noise 50%
• Piecewise Smoothness 50%
• Norm Constraint 50%
• Numerical Examples 25%
• Synthetic Data 25%
• Image Data 25%
• Maximum Likelihood Estimation 25%
• High Probability 25%
• Error Bound 25%
• Kullback-Leibler Divergence 25%
• Theoretical Error 25%
• Matrix Completion 25%
• Matrix Completion Problem 25%
• Upper Error Bound 25%
• Noise Variation 25%

Mathematics

• Total Variation 100%
• Complete Matrix 100%
• Matrix (Mathematics) 40%
• Error Bound 40%
• Probability Theory 20%
• Numerical Example 20%
• Image Data 20%
• Synthetic Data 20%
• Approximates 20%
• Maximum Likelihood 20%
• Superiority 20%
• Kullback-Leibler Divergence 20%

Computer Science

• Total Variation 100%
• Nuclear Norm 100%
• Norm Constraint 40%
• Synthetic Data 20%
• Numerical Example 20%
• Leibler Divergence 20%
• Likelihood Estimation 20%
• maximum-likelihood 20%