Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis.
Mayssa SoussiaIslem RekikPublished in: Frontiers Neuroinformatics (2018)
Keyphrases
- high order
- manifold learning
- semi supervised
- discriminant projection
- higher order
- pairwise
- diffusion maps
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- subspace learning
- feature extraction
- magnetic resonance imaging
- high dimensional data
- unsupervised learning
- sparse representation
- bayesian logistic regression
- dimension reduction
- image processing
- low rank
- multiscale
- labeled data
- medical images
- medical imaging
- mr images
- magnetic resonance images
- markov random field
- supervised learning
- training set
- pattern recognition
- neural network
- white matter
- low dimensional manifolds
- data mining