Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning.
Benoît FreichePatrick ClarysseMagalie ViallonPierre CroisilleNicolas DuchateauPublished in: STACOM@MICCAI (2021)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- semi supervised
- subspace learning
- feature extraction
- dimension reduction
- diffusion maps
- manifold learning algorithm
- head pose estimation
- high dimensional data
- sparse representation
- low dimensional manifolds
- manifold structure
- locality preserving
- laplacian eigenmaps
- manifold embedding
- myocardial perfusion
- discriminant projection
- geodesic distance
- locally linear embedding
- high dimensionality
- unsupervised learning
- data mining techniques
- face recognition
- clustering algorithm
- computer vision
- data sets