Vigilance estimation using truncated l1 distance kernel-based sparse representation regression with physiological signals

Engineering

• Radial Basis Function 100%
• Demonstrates 50%
• Experimental Result 50%
• Simple Model 50%
• Nonlinearity 50%
• Adaptability 50%
• Performance Improvement 50%
• Machine Learning Algorithm 50%
• Reproducing Kernel 50%
• Positive Definite Matrix 50%
• Symmetric Positive Definite 50%

Computer Science

• Physiological Signal 100%
• Sparse Representation 100%
• Radial Basis Function 28%
• Experimental Result 14%
• Kernel Method 14%
• Recognition Algorithm 14%
• Performance Parameter 14%
• Machine Learning Algorithm 14%
• Positive Definite Matrix 14%
• Performance Improvement 14%
• Reproducing Kernel 14%
• Kernel Parameter 14%