On connections between Rényi entropy Principal Component Analysis, kernel learning and graph embedding.
Zhi-Yong RanWei WangBao-Gang HuPublished in: Pattern Recognit. Lett. (2018)
Keyphrases
- graph embedding
- kernel learning
- dimensionality reduction
- principal component analysis
- low dimensional
- discriminant analysis
- semi supervised
- linear discriminant analysis
- subspace learning
- data representation
- dimension reduction
- high dimensional data
- face recognition
- feature extraction
- high dimensional
- kernel matrix
- euclidean distance
- singular value decomposition
- multiple kernel learning
- metric learning
- input space
- feature space
- unsupervised learning
- face images
- low rank
- learning tasks
- pairwise constraints
- kernel methods
- data sets
- kernel function
- data points
- feature selection
- pattern recognition
- pairwise
- linear combination
- semi supervised learning