Low-rank adaptive graph embedding for unsupervised feature extraction.
Jianglin LuHailing WangJie ZhouYudong ChenZhihui LaiQinghua HuPublished in: Pattern Recognit. (2021)
Keyphrases
- low rank
- graph embedding
- semi supervised
- feature extraction
- dimensionality reduction
- discriminant analysis
- manifold learning
- semi supervised learning
- labeled data
- high dimensional data
- linear combination
- supervised learning
- missing data
- singular value decomposition
- label information
- convex optimization
- pairwise
- unsupervised learning
- unlabeled data
- active learning
- matrix factorization
- low dimensional
- feature representation
- pairwise constraints
- feature vectors
- dimension reduction
- image processing
- high order
- feature space
- generative model
- principal component analysis
- object recognition
- feature selection
- face recognition
- distance measure
- linear discriminant analysis
- high dimensional
- data representation
- higher order