Empirical comparison of robustness of classifiers on IR imagery

Keyphrases

• Training Data 100%
• IR Imagery 100%
• Classifier Robustness 100%
• C4.5 30%
• Random Decision Trees 20%
• Knowledge Base 10%
• Support Vector Machine 10%
• Ensemble Methods 10%
• Regularized Least Squares Classifier 10%
• Training Sample Size 10%
• Size Reduction 10%
• Robust Classifier 10%
• Limited Computational Resources 10%
• Single Classifier 10%

Mathematics

• Training Data 100%
• Test Point 27%
• Test Data 27%
• Decision Tree 18%
• Least Square 9%
• Support Vector Machine 9%
• Knowledge Base 9%

Computer Science

• Training Data 100%
• Decision Tree 18%
• Ensemble Method 9%
• Computational Resource 9%
• Least Squares Method 9%
• Knowledge Base 9%
• Support Vector Machine 9%