Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

Keyphrases

• Minority Class 100%
• Majority Class 100%
• Imbalanced Data 100%
• Deep Feature Representation 100%
• Cost-sensitive Learning 100%
• Popular 50%
• Neural Network 50%
• Image Classification 50%
• Detection Task 50%
• Cost-sensitive 50%
• Classification Task 50%
• Network Parameters 50%
• Data Distribution 50%
• Class-dependent 50%
• Low Computational Complexity 50%
• Object Detection 50%
• Superior Performance 50%
• Multi-class Problem 50%
• Training Process 50%
• Classification Data 50%
• Object Classification 50%
• Baseline Algorithm 50%
• Data Level Approach 50%
• Deep Neural Network 50%
• Class Imbalance 50%
• Real Objects 50%
• Robust Feature Representation 50%
• Binary Problems 50%
• Data Sampling Techniques 50%
• Cost-sensitive Classifier 50%
• Sampling Cost 50%
• Learning Procedure 50%

Computer Science

• Imbalanced Data 100%
• Majority Class 100%
• Minority Class 100%
• Deep Feature 100%
• Neural Network 50%
• Image Classification 50%
• Computational Cost 50%
• Classification Task 50%
• Network Parameter 50%
• Data Distribution 50%
• Object Detection 50%
• Multiclass Problem 50%
• Sampling Technique 50%
• Training Process 50%
• Superior Performance 50%
• Deep Neural Network 50%
• Class Imbalance 50%