Low-rank supervised and semi-supervised multi-metric learning for classification.
Ping SunLiming YangPublished in: Knowl. Based Syst. (2022)
Keyphrases
- low rank
- metric learning
- semi supervised
- kernel matrix
- kernel learning
- linear combination
- distance metric
- convex optimization
- feature space
- semi supervised learning
- matrix factorization
- missing data
- supervised learning
- machine learning
- feature extraction
- unsupervised learning
- dimensionality reduction
- semidefinite programming
- unlabeled data
- pairwise
- distance function
- support vector machine
- multi task
- decision trees
- feature vectors
- high dimensional data
- learning tasks
- support vector
- feature selection
- neural network
- training data
- singular value decomposition
- high order
- pattern recognition
- training samples
- data sets
- classification accuracy