Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition.
Tingting DanZhuobin HuangHongmin CaiGuorong WuPublished in: ISBI (2022)
Keyphrases
- manifold learning
- feature extraction
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- recognition rate
- high dimensional
- subspace learning
- dimension reduction
- pattern recognition
- diffusion maps
- head pose estimation
- semi supervised
- high dimensional data
- image classification
- object recognition
- neural network
- action recognition
- sparse representation
- multiscale
- laplacian eigenmaps
- low dimensional manifolds
- support vector