Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction.
Loc TranFrederic D. McKenzieJihong WangJiang LiPublished in: MLMI (2013)
Keyphrases
- manifold learning
- neighbor selection
- brain tumors
- high dimensional
- sparse representation
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- diffusion maps
- magnetic resonance images
- mr images
- subspace learning
- dimension reduction
- collaborative filtering
- laplacian eigenmaps
- high dimensional data
- semi supervised
- brain images
- manifold structure
- feature extraction
- underlying manifold
- magnetic resonance
- face recognition
- data sets
- high resolution
- remote sensing
- feature space
- pattern recognition
- manifold embedding