Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition

Keyphrases

• Incomplete Data 100%
• Feature Extraction 100%
• Missing Entries 100%
• Low-rank Tucker Decomposition 100%
• Core Tensor 75%
• Alternating Direction multiplier Method 25%
• Face Recognition 25%
• Challenging Tasks 25%
• State-of-the-art Techniques 25%
• Low-rank 25%
• Nuclear Norm Minimization 25%
• Recognition Task 25%
• Superior Performance 25%
• Feature Extraction Methods 25%
• Tucker Decomposition 25%
• Unified Framework 25%
• Unsupervised Method 25%
• Effective Feature 25%
• Reconstruction Error 25%
• Informative Features 25%
• Extracting Features 25%
• Multiplier Approach 25%
• Tensor Completion 25%
• Feature Extracting 25%
• Variance Maximization 25%
• Data Recovery 25%
• Tensor Features 25%
• Optimization Objectives 25%

Computer Science

• Feature Extraction 100%
• Extracted Feature 50%
• Experimental Result 25%
• Face Recognition 25%
• Regularization 25%
• Nuclear Norm 25%
• Alternating Direction Method of Multipliers 25%
• Unified Framework 25%
• Unsupervised Method 25%
• Reconstruction Error 25%
• Superior Performance 25%
• Optimisation Objective 25%
• Data Recovery 25%

Engineering

• Feature Extraction 100%
• Extracted Feature 50%
• Experimental Result 25%
• State-of-the-Art Method 25%
• Regularization 25%
• Alternating Direction Method of Multipliers 25%
• Illustrates 25%
• Maximization 25%
• Isolation Method 25%
• Real Data 25%
• Effective Feature 25%