Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction.
Hebing NieQun WuHaifeng ZhaoWeiping DingMuhammet DeveciPublished in: Inf. Fusion (2023)
Keyphrases
- dimension reduction
- graph embedding
- semi supervised
- low dimensional
- dimensionality reduction
- unsupervised learning
- manifold learning
- high dimensional
- principal component analysis
- subspace learning
- high dimensional data
- discriminant analysis
- feature extraction
- semi supervised learning
- singular value decomposition
- label information
- linear discriminant analysis
- feature space
- labeled data
- discriminative information
- active learning
- high dimensionality
- pairwise constraints
- feature selection
- unlabeled data
- cluster analysis
- pairwise
- data representation
- similarity measure
- machine learning
- face recognition
- manifold structure
- data points
- supervised learning
- data sets
- distance measure
- real world
- feature representation
- support vector
- euclidean distance