Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification.
Seunghun BaekInjun ChoiMustafa DereMinjeong KimGuorong WuWon Hwa KimPublished in: ISBI (2023)
Keyphrases
- multiscale
- supervised learning
- unsupervised learning
- learning algorithm
- discriminative learning
- feature representation
- incremental learning
- learning problems
- learning process
- pattern recognition
- active learning
- feature construction
- decision trees
- learning systems
- feature extraction
- learning tasks
- machine learning
- learning phase
- pattern classification
- multi category
- feature vectors
- feature selection
- classification models
- class labels
- machine learning algorithms
- support vector machine svm
- information processing
- reinforcement learning
- model selection
- text classification
- support vector machine
- training set