Discriminative self-representation sparse regression for neuroimaging-based alzheimer’s disease diagnosis

Keyphrases

• Alzheimer's Disease Diagnosis 100%
• Neuroimaging 100%
• Self-representation 100%
• Sparse Regression 100%
• Neuroimaging Features 100%
• Response Variable 66%
• Alzheimer's Disease Neuroimaging Initiative 33%
• Linear Combination 33%
• State-of-the-art Techniques 33%
• Selected Features 33%
• Feature Selection Methods 33%
• Support Vector Machine Classifier 33%
• Unsupervised Method 33%
• Weighted Sums 33%
• Linear Regression Model 33%
• Label Information 33%
• Group Sparsity Constraint 33%
• Discriminative Feature Selection 33%

Computer Science

• Feature Selection 100%
• Sparse Representation 100%
• Response Variable 100%
• Experimental Result 50%
• Support Vector Machine 50%
• Discriminative Feature 50%
• Linear Combination 50%
• Sparsity 50%
• Relative Importance 50%
• Unsupervised Manner 50%
• Feature Extraction 50%

Psychology

• Neuroimaging 100%
• Alzheimer's Disease 100%
• Linear Regression Model 20%