Reliable image classification by combining features and random subspace support vector machine ensemble

Earth and Planetary Sciences

• Image 100%
• Classification 100%
• Option 100%
• Support Vector Machine 100%
• Image Classification 100%
• Accuracy 75%
• Utilization 50%
• Data Base 50%
• Rejection 50%
• Approach 25%
• Foci 25%
• Model 25%
• Effectiveness 25%
• Increasing 25%
• Decision 25%
• Decision Making 25%
• Rate 25%
• Exhibit 25%
• Gradient 25%
• Algorithms 25%
• Transform 25%
• Reliability 25%
• Learning 25%
• Category 25%
• Recognition 25%
• Description 25%
• Histogram 25%

Computer Science

• Support Vector Machine 100%
• Database 66%
• Classification Accuracy 66%
• Algorithms 33%
• Benchmark 33%
• Models 33%
• Application 33%
• Real World 33%
• World Application 33%
• Accuracy 33%
• Ensemble Learning 33%
• Decision-Making 33%
• histogram of oriented gradient 33%
• Rejection Rate 33%
• Classification Scheme 33%

Neuroscience

• Face 100%
• Support Vector Machine 100%
• Categorization 66%
• Recognition 33%