A comment on "Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding".
Caiming ZhongDuoqian MiaoPublished in: Pattern Recognit. (2009)
Keyphrases
- geodesic distance
- manifold learning
- neighborhood graph
- euclidean space
- low dimensional
- dimensionality reduction
- semi supervised
- dimension reduction
- high dimensional
- feature extraction
- principal component analysis
- sparse representation
- high dimensional data
- vector space
- data points
- image processing
- mixture model
- euclidean distance
- feature space
- object recognition
- training data