Manifold-based unsupervised metric Learning, with applications in individualized predictions based on functional connectivity.
Fan WuHao MaYun GuanLixia TianPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- metric learning
- functional connectivity
- semi supervised
- manifold learning
- distance metric
- feature space
- dimensionality reduction
- unsupervised learning
- pairwise
- learning tasks
- supervised learning
- semi supervised learning
- kernel matrix
- multi task
- mahalanobis distance
- low dimensional
- labeled data
- active learning
- high dimensional
- working memory
- multi channel
- distance function
- machine learning
- brain regions
- learning styles
- learning process
- image processing
- feature selection
- neural network
- expectation maximization
- medical images
- multi class