Imbalanced data learning by minority class augmentation using capsule adversarial networks

Keyphrases

• Generative Adversarial Networks 100%
• Minority Class 100%
• Imbalanced Learning 100%
• Class Augmentation 100%
• Adversarial Network 100%
• Deep Learning Methods 25%
• Loss Function 25%
• Image Data 25%
• Proposed Methodology 25%
• Class-specific 25%
• Network Approach 25%
• Training Samples 25%
• Network Model 25%
• Learning Improvement 25%
• Majority Class 25%
• Adversarial Training 25%
• Training Convergence 25%
• Competitive Game 25%
• Learning from Imbalanced Data 25%
• Generative Networks 25%
• Minority Sample 25%
• Data Overfitting 25%
• Multivariate Probability Distribution 25%
• Distribution Structure 25%
• Discriminative Network 25%
• Similar Samples 25%
• Convolutional 25%
• Feature Matching Loss 25%
• New Minorities 25%
• Capsule Network 25%
• Overlapping Classes 25%

Computer Science

• Generative Adversarial Networks 100%
• Imbalanced Data 100%
• Minority Class 100%
• Discriminator 25%
• Training Sample 25%
• Generative Model 25%
• Deep Learning Technique 25%
• Majority Class 25%
• Adversarial Machine Learning 25%
• Competitive Game 25%
• Component Class 25%
• Generate Sample 25%