Low-rank tensor learning for classification of hyperspectral image with limited labeled samples.
Zhi HeJie HuYiwen WangPublished in: Signal Process. (2018)
Keyphrases
- low rank
- hyperspectral images
- supervised learning
- pattern recognition
- labeled and unlabeled data
- matrix factorization
- reinforcement learning
- convex optimization
- incremental learning
- high order
- unsupervised learning
- training samples
- labeled data
- semi supervised
- active learning
- learning process
- trace norm
- text classification
- learning algorithm
- missing data
- class labels
- remote sensing
- feature vectors
- dimension reduction
- unlabeled data
- hyperspectral
- discriminative information
- unlabeled samples
- learning tasks
- semi supervised learning
- image classification
- support vector machine
- training set
- data analysis
- feature selection