Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance.
Lee FriedmanHal S. SternLarry R. PriceOleg V. KomogortsevPublished in: Sensors (2020)
Keyphrases
- correlation coefficient
- intra class
- machine learning
- image classification
- margin maximization
- learning algorithm
- temporal persistence
- cross validation
- support vector machine svm
- support vector machine
- classification accuracy
- ground truth
- model selection
- pattern recognition
- support vector
- feature extraction
- decision trees