TUH EEG Corpus Reestimate Parameters Supervised Learning Process
- Slides: 6
TUH EEG Corpus Reestimate Parameters Supervised Learning Process Input: Feature Extraction EEG raw data Find best Alignment between primitives and data Found Alignment? Output: Recall Parameters Model Parameters
TUH EEG Corpus Reestimate Parameters Supervised learning process Input: EEG Raw Data Feature Extraction Find best alignment between primitives and data Output: Model Parameters Alignment Found? Recall Parameters
TUH EEG Corpus Reestimate Parameters Supervised Learning Process Input: Feature Extraction EEG raw data Find best Alignment between primitives and data Found Alignment? Output: Recall Parameters Model Parameters
Copy EEG Files to Disks Convert EEG files to EDF Hard Copies Capture Physicians Reports Alpha Database Deidentify Reports MModal Database Label Generation Optical Character Recognition Manual Correction
Copy EEG Files to Disks Convert EEG files to EDF Capture Physicians Reports Deidentify Reports Hard Copies Alpha Database MModal Database Optical Character Recognition Manual Correction Label Generation
Copy EEG files to Disks Convert EEG files to EDF Capture Physicians' Reports Deidentify Reports Label Generation Hard Copies Alpha Database M*Modal Database Access Database Optical Character Recognition Copy EEG files to Disks
