A Data Completion Algorithm Based on Low-Rank Prior Knowledge for Data-Driven Applications

Keyphrases

• Data Completion 100%
• Tensor Ring 100%
• Data-driven Applications 100%
• Low-rank Prior 100%
• Data Recovery 66%
• Nonlocal Self-similarity 66%
• Image Data 33%
• Recovery Algorithm 33%
• High-dimensional Data 33%
• Denoising 33%
• Missing Data 33%
• Data Preprocessing 33%
• Ring-like Structures 33%
• Recovery Method 33%
• Weighted nuclear Norm 33%
• Knowledge Base 33%
• Spatial Relationship 33%
• Self-similarity 33%
• Plug-and-play 33%
• Low-rank Tensor 33%
• Completion Method 33%
• Unfolding Matrix 33%
• Singular Values 33%
• Consumer Electronics 33%
• Determinant Function 33%
• Reliable Services 33%
• Missing Traffic Data 33%
• Recovery Accuracy 33%
• Data Entry 33%
• BM3D 33%

Computer Science

• Data Recovery 100%
• Experimental Result 50%
• Recovery Algorithm 50%
• Data Preprocessing 50%
• de-noising 50%
• Nuclear Norm 50%
• High Dimensional Data 50%
• Spatial Relationship 50%
• Collecting Data 50%
• Preprocessing Stage 50%
• Singular Value 50%