Goal-Oriented Euclidean Heuristics with Manifold Learning.
Wenlin ChenYixin ChenKilian Q. WeinbergerQiang LuXiaoping ChenPublished in: AAAI (2013)
Keyphrases
- manifold learning
- goal oriented
- low dimensional
- dimensionality reduction
- semi supervised
- nonlinear dimensionality reduction
- dimension reduction
- subspace learning
- laplacian eigenmaps
- diffusion maps
- euclidean space
- high dimensional data
- manifold structure
- high dimensional
- euclidean distance
- sparse representation
- head pose estimation
- feature extraction
- manifold learning algorithm
- requirements analysis
- locality preserving
- discriminant projection
- geodesic distance
- semi supervised learning
- latent space
- shape analysis
- supervised learning
- low dimensional manifolds
- feature space
- data analysis
- computer vision
- data sets