Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System

Keyphrases

• Accurate Recognition 16%
• Augmented Lagrange multiplier 16%
• Classification Performance 16%
• Component Representation 100%
• Component-based 50%
• Convex Minimization Problem 16%
• Data Quality 16%
• Data Quantity 16%
• Deep Neural Network 16%
• Deep Neural Network Algorithm 16%
• Face Database 16%
• Face Recognition 100%
• Inter-subject Variation 33%
• Internet of Things 100%
• Internet of Things Applications 16%
• Internet of Things Devices 16%
• Intra-subject 33%
• Intra-subject Variation 16%
• L2-norm Constraint 16%
• Low-rank Component 100%
• Polynomial Time 16%
• Reconstruction Residual 16%
• State-of-the-art Techniques 16%
• Training Data 33%
• Undersampling 33%

Computer Science

• Artificial Neural Network 33%
• Biggest Challenge 33%
• Classification Performance 33%
• Deep Neural Network 66%
• Face Recognition 100%
• Internet of Things 100%
• Internet of Things Device 33%
• Lagrange Multiplier 33%
• Minimization Problem 33%
• Neural Network Model 33%
• Norm Constraint 33%
• Polynomial Time 33%
• Representation Component 100%
• Training Dataset 66%