Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion

Keyphrases

• Mild Cognitive Impairment 100%
• Denoising 100%
• Conversion Prediction 100%
• Matrix Completion 100%
• Low-rank 100%
• Time Conversion 100%
• Low-rank Matrix Completion 75%
• State-of-the-art Techniques 25%
• ADNI Dataset 25%
• Classification Accuracy 25%
• Subspace Methods 25%
• Clinical Data 25%
• Inequality Constraints 25%
• Survival Analysis 25%
• Data Fitting 25%
• Sparse Regression 25%
• Global Analysis 25%
• First Use 25%
• Multimodal Neuroimaging Data 25%
• Matrix Completion Algorithm 25%
• Time Prediction 25%
• Low-rank Subspace 25%
• Sparse Feature Selection 25%
• Multiple Subspaces 25%
• Prediction Correlation 25%

Computer Science

• de-noising 100%
• Neuroimaging Data 33%
• Feature Selection 33%
• Classification Accuracy 33%
• Subspace Method 33%
• Inequality Constraint 33%
• Clinical Data 33%
• Prediction Time 33%
• Global Analysis 33%
• Feature Extraction 33%