Learning kernel subspace for face recognition

Computer Science

• Face Recognition 100%
• Principle Component Analysis 75%
• Linear Discriminant Analysis 50%
• Subspace Method 50%
• Recognition System 50%
• Final Solution 50%
• Experimental Result 25%
• Feature Extraction 25%
• Kernel Method 25%
• Recognition Accuracy 25%
• World Application 25%
• Training Dataset 25%
• Extraction Process 25%
• radial base function neural network 25%
• Training Example 25%

Engineering

• Component Analysis 100%
• Subspace Method 66%
• Experimental Result 33%
• Feature Extraction 33%
• Recognition Accuracy 33%
• Radial Basis Function 33%
• Real World Application 33%
• Extraction Process 33%