Semisupervised Feature Selection via Structured Manifold Learning.
Xiaojun ChenRenjie ChenQingyao WuFeiping NieMin YangRui MaoPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- manifold learning
- semi supervised
- feature selection
- dimensionality reduction
- dimension reduction
- semi supervised learning
- unsupervised learning
- feature extraction
- nonlinear dimensionality reduction
- low dimensional
- subspace learning
- labeled data
- diffusion maps
- feature space
- unlabeled data
- supervised learning
- active learning
- high dimensional
- manifold structure
- pairwise
- manifold learning algorithm
- support vector
- high dimensional data
- locally linear embedding
- head pose estimation
- text classification
- laplacian eigenmaps
- nonlinear manifold
- metric learning
- geodesic distance
- machine learning
- multi task
- high dimensionality
- gaussian process
- sparse representation
- feature set
- knn
- multiscale
- neural network
- discriminant projection