Regional Manifold Learning for Disease Classification.
Dong Hye YeBenoit DesjardinsJihun HammHarold LittKilian M. PohlPublished in: IEEE Trans. Medical Imaging (2014)
Keyphrases
- manifold learning
- dimension reduction
- feature extraction
- dimensionality reduction
- feature space
- low dimensional
- feature mapping
- subspace learning
- head pose estimation
- semi supervised
- machine learning
- pattern recognition
- high dimensional
- nonlinear dimensionality reduction
- diffusion maps
- pattern classification
- locality preserving
- feature selection
- support vector machine
- locality preserving projections
- supervised learning
- high dimensional data
- image classification
- sparse representation
- preprocessing
- object recognition
- support vector machine svm
- text classification
- data sets
- nearest neighbor
- knn
- feature vectors
- low dimensional manifolds
- training data
- image processing
- discriminant projection