Locally Linear Minimum Spanning Trees for Manifold Learning.
Carlos A. QuinteroFernando LozanoPublished in: ICMLA (1) (2013)
Keyphrases
- manifold learning
- neighborhood graph
- locally linear embedding
- low dimensional
- dimensionality reduction
- semi supervised
- subspace learning
- high dimensional
- feature extraction
- high dimensional data
- dimension reduction
- geodesic distance
- linear combination
- sparse representation
- manifold structure
- image classification
- machine learning
- nearest neighbor
- feature space
- probabilistic model
- pattern recognition
- feature vectors