Out-of-sample generalizations for supervised manifold learning for classification.
Elif VuralChristine GuillemotPublished in: CoRR (2015)
Keyphrases
- manifold learning
- semi supervised
- dimension reduction
- feature extraction
- low dimensional
- supervised learning
- high dimensional
- feature selection
- feature mapping
- discriminant projection
- unsupervised learning
- nonlinear dimensionality reduction
- feature space
- dimensionality reduction
- pattern recognition
- manifold learning algorithm
- pattern classification
- locality preserving
- diffusion maps
- high dimensional data
- machine learning
- class labels
- image classification
- subspace learning
- feature vectors
- preprocessing
- support vector
- label information
- decision trees
- sparse representation
- high dimensionality
- support vector machine svm
- semi supervised learning
- labeled and unlabeled data
- training set
- manifold embedding
- neural network