Dimension reduction, generalized deformable models and the development of ocularity and orientation.
Alan L. YuilleJames A. KolodnyC. W. LeePublished in: Neural Networks (1996)
Keyphrases
- dimension reduction
- deformable models
- medical image analysis
- medical images
- principal component analysis
- feature extraction
- high dimensional
- high dimensional problems
- high dimensional data
- linear discriminant analysis
- low dimensional
- manifold learning
- feature space
- random projections
- singular value decomposition
- cluster analysis
- auxiliary variables
- image segmentation
- image analysis
- preprocessing
- feature selection
- data analysis
- volumetric images
- high dimensionality
- mr images
- least squares
- shape prior
- dimension reduction methods
- sparse metric learning