Feature Extraction and Classification using Leading Eigenvectors: Applications in Biomedical and Multi-Modal mHealth Data

Computer Science

• Feature Extraction 100%
• Eigenvector 100%
• Approximation (Algorithm) 40%
• Computational Complexity 20%
• Singular Value 20%
• Kernel Method 20%
• Deep Learning Model 20%
• Classification Task 20%
• Machine Learning 20%
• Learning System 20%

Engineering

• Feature Extraction 100%
• Eigenvector 100%
• Computational Complexity 20%
• Classification Task 20%
• Learning Task 20%
• Singular Value Decomposition 20%
• Eigenvalue 20%
• Learning System 20%
• Deep Learning Method 20%
• Isolation Method 20%