A Longitudinal Study of the Evolution of the Central Sulcus' Shape in Preterm Infants Using Manifold Learning.
Héloïse de VareillesZhong Yi SunManon J. N. L. BendersClara FischerFrançois LeroyLinda S. de VriesFloris GroenendaalDenis RivièreJessica DuboisJean-François ManginPublished in: SUSI/PIPPI@MICCAI (2019)
Keyphrases
- manifold learning
- longitudinal study
- geodesic distance
- dimensionality reduction
- diffusion maps
- nonlinear dimensionality reduction
- low dimensional
- semi supervised
- dimension reduction
- high dimensional
- subspace learning
- laplacian eigenmaps
- high dimensional data
- shape model
- head pose estimation
- feature space
- shape analysis
- manifold structure
- locally linear embedding
- feature extraction
- shape prior
- riemannian manifolds
- machine learning
- shape descriptors
- sparse representation
- pattern recognition
- data sets
- shape variations
- vector space
- microarray
- principal component analysis
- learning algorithm
- manifold embedding
- discriminant embedding