Semi-supervised sparse least squares support vector machine based on Mahalanobis distance.
Li CuiYingqing XiaPublished in: Appl. Intell. (2022)
Keyphrases
- mahalanobis distance
- least squares
- semi supervised
- metric learning
- sparse linear
- noise model
- semi supervised learning
- euclidean distance
- multiple instance learning
- covariance matrix
- labeled data
- pairwise
- supervised learning
- sparse representation
- data distribution
- unsupervised learning
- high dimensional
- machine learning
- unlabeled data
- active learning
- optical flow
- index structure
- error rate