Transfer subspace learning joint low-rank representation and feature selection.
Liran YangQinghua ZhouPublished in: Multim. Tools Appl. (2022)
Keyphrases
- subspace learning
- feature selection
- low rank representation
- linear subspace
- dimensionality reduction
- low rank
- data representation
- high dimensional data
- manifold learning
- feature space
- low dimensional
- principal component analysis
- sparse coding
- high dimensionality
- semi supervised
- face recognition
- high dimensional
- feature extraction
- learning algorithm
- text classification
- sparse representation
- support vector
- singular value decomposition
- unsupervised learning
- dimension reduction
- model selection
- support vector machine
- knn
- multi task
- linear discriminant analysis
- object recognition
- image processing
- computer vision