A variational approach for sparse component estimation and low-rank matrix recovery

Computer Science

• Algorithms 100%
• Variational Approach 100%
• Low-Rank 100%
• Models 66%
• Performance Improvement 33%
• Bayesian Framework 33%
• Video Sequences 33%
• Component Analysis 33%
• Considered Problem 33%
• Regularization 33%
• Principal Component 33%
• Foreground Detection 33%
• Composite Data 33%
• Detection 33%

INIS

• recovery 100%
• matrices 100%
• algorithms 100%
• variational methods 100%
• detection 66%
• data 33%
• performance 33%
• principal component analysis 33%

Mathematics

• Variational Approach 100%
• Algorithm 100%
• Bayesian 66%
• Detection 66%
• Inference 33%
• Real Life 33%
• Considered Problem 33%
• Regularization 33%
• Anomalies 33%
• PCA 33%
• Sequences 33%