Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis.
Chun-Hao YangBaba C. VemuriPublished in: IPMI (2021)
Keyphrases
- shape analysis
- dimensionality reduction
- shape representation
- shape descriptors
- high dimensional
- low dimensional
- high dimensional data
- principal component analysis
- euclidean space
- preserving transformations
- shape recognition
- image analysis and pattern recognition
- pattern recognition
- feature space
- feature selection
- manifold learning
- data points
- medical imaging
- shape space
- feature extraction
- fourier descriptors
- locally linear embedding
- graph embedding
- laplace beltrami
- image analysis
- ground truth
- kernel pca
- nonlinear dimensionality reduction
- remote sensing