Out-of-Sample Generalizations for Supervised Manifold Learning for Classification.
Elif VuralChristine GuillemotPublished in: IEEE Trans. Image Process. (2016)
Keyphrases
- manifold learning
- dimension reduction
- semi supervised
- feature extraction
- supervised learning
- low dimensional
- dimensionality reduction
- feature selection
- machine learning
- feature space
- subspace learning
- pattern recognition
- pattern classification
- discriminant projection
- nonlinear dimensionality reduction
- unsupervised learning
- feature mapping
- diffusion maps
- locality preserving
- image classification
- decision trees
- high dimensional data
- manifold learning algorithm
- sparse representation
- head pose estimation
- high dimensional
- data sets
- feature set
- high dimensionality
- class labels
- text classification
- support vector
- multiscale
- label information
- labeled and unlabeled data
- manifold structure
- pairwise
- locality preserving projections
- support vector machine svm
- semi supervised learning
- knn