Multi-target feature selection with subspace learning and manifold regularization.
Dubo HeShengxiang SunLi XiePublished in: Neurocomputing (2024)
Keyphrases
- subspace learning
- feature selection
- dimensionality reduction
- semi supervised
- dimension reduction
- semi supervised learning
- principal component analysis
- sparse coding
- low dimensional
- data representation
- high dimensionality
- multiple targets
- unsupervised learning
- feature space
- sparse representation
- high dimensional data
- learning algorithm
- feature extraction
- face recognition
- machine learning
- data sets
- text classification
- model selection
- feature set
- high dimensional
- object recognition
- support vector machine
- unlabeled data
- active learning
- supervised learning
- support vector
- image representation
- visual tracking
- linear discriminant analysis
- pattern recognition
- labeled data
- natural images
- data points