A study of the classification of low-dimensional data with supervised manifold learning.
Elif VuralChristine GuillemotPublished in: CoRR (2015)
Keyphrases
- manifold learning
- low dimensional
- high dimensional data
- semi supervised
- data points
- high dimensional
- data sets
- manifold structure
- input space
- data analysis
- feature space
- dimensionality reduction
- high dimensionality
- dimension reduction
- supervised learning
- support vector
- feature extraction
- input data
- pattern recognition
- feature selection
- embedding space
- underlying manifold
- latent space
- discriminant projection
- euclidean space
- semi supervised learning
- text classification
- training data
- decision trees
- machine learning