Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification.
Ziheng ChenTianyang XuXiaojun WuRui WangJosef KittlerPublished in: IEEE Trans. Big Data (2023)
Keyphrases
- graph embedding
- multi kernel
- image set classification
- metric learning
- semi supervised
- dimensionality reduction
- low dimensional
- discriminant analysis
- data representation
- manifold learning
- high dimensional
- subspace learning
- distance metric
- label information
- euclidean space
- multiple instance learning
- dictionary learning
- labeled data
- feature representation
- machine learning
- neural network
- unlabeled data
- principal component analysis
- pairwise
- pattern recognition
- distance function
- image set
- linear combination
- input space
- multi class
- computer vision