Joint dimensionality reduction and metric learning for image set classification.
Wenzhu YanQuansen SunHuaijiang SunYanmeng LiPublished in: Inf. Sci. (2020)
Keyphrases
- metric learning
- dimensionality reduction
- image set classification
- distance metric
- high dimensional
- high dimensional data
- pairwise
- pattern recognition
- feature selection
- subspace learning
- kernel matrix
- input space
- principal component analysis
- multiple features
- feature space
- principal components
- unsupervised learning
- feature extraction
- data points
- multi kernel
- euclidean distance
- semi supervised
- learning tasks
- low dimensional
- data representation
- text classification
- linear discriminant analysis
- machine learning
- semi supervised learning
- manifold learning
- kernel learning
- graph embedding
- distance function
- nearest neighbor
- knn