Multi-sensor detected object classification method based on support vector machine

Computer Science

• binary classifier 14%
• Classification Accuracy 14%
• Classification Algorithm 14%
• Classification Method 100%
• Classification Models 14%
• Classification Performance 28%
• Confidence Degree 28%
• Directed Acyclic Graph 28%
• Directed Graphs 14%
• Experimental Result 14%
• fault-tolerance 42%
• Generalization Performance 14%
• Least Squares Method 42%
• multi sensor 100%
• Support Vector Machine 100%

Engineering

• Classification Accuracy 12%
• Classification Algorithm 12%
• Classification Method 100%
• Classification Performance 25%
• Experimental Result 12%
• Fits and Tolerances 37%
• Least Square 37%
• Misclassification 12%
• Noise Tolerance 100%
• Reduction Process 12%
• Sensor Data 12%
• Support Vector Machine 100%