Feature Space Renormalization for Semi-supervised Learning.
Jun SunZhongjie MaoChao LiChao ZhouXiao-Jun WuPublished in: CoRR (2023)
Keyphrases
- semi supervised learning
- feature space
- semi supervised
- unlabeled data
- labeled data
- unsupervised learning
- semi supervised classification
- data points
- supervised learning
- high dimensional
- machine learning
- feature vectors
- feature selection
- classification accuracy
- training samples
- kernel function
- principal component analysis
- dimensionality reduction
- input space
- feature extraction
- linear discriminant analysis
- kernel methods
- low dimensional
- dimension reduction
- metric learning
- high dimensionality
- co training
- label propagation
- graph based semi supervised learning
- training data
- active learning
- hyperplane
- learning models
- training set
- pattern recognition
- manifold regularization
- image representation
- pairwise
- domain adaptation
- labeled and unlabeled data
- graph construction
- transfer learning
- support vector machine
- multi view learning
- decision trees