Multi-class active learning for image classification

Keyphrases

• Active Learning 100%
• Image Classification 100%
• Training Data 100%
• Multi-class 100%
• Human Effort 100%
• Training Examples 100%
• Classification Accuracy 50%
• Natural Scenes 50%
• Data Required 50%
• Classification Problem 50%
• Object Recognition 50%
• Uncertainty Sampling 50%
• Computation Overhead 50%
• Random Selection 50%
• Large Reduction 50%
• Class number 50%
• Letter Recognition 50%
• Uncertainty Measure 50%
• Active Learning Approach 50%
• Learning Techniques 50%
• Random Training 50%
• Human Time 50%
• Caltech101 50%
• UCI Dataset 50%
• Digit Recognition 50%
• Active Learning Algorithm 50%
• Scene Categorization 50%
• Scene Categories 50%

Computer Science

• Active Learning 100%
• Image Classification 100%
• Training Example 50%
• Unlabeled Example 50%
• Training Data 50%
• Object Recognition 25%
• Multiclass Case 25%
• Recognition Result 25%
• Classification Accuracy 25%
• Classification Problem 25%
• Learning Algorithm 25%
• Learning Approach 25%
• Learning Technique 25%
• Random Selection 25%
• Classification 25%