Distribution Discrepancy Maximization Metric Learning for Ship Classification in Synthetic Aperture Radar Images.
Yongjie XuHaitao LangXiaopeng ChaiPublished in: IGARSS (2019)
Keyphrases
- metric learning
- synthetic aperture radar images
- distance metric learning
- nearest neighbor classification
- distance metric
- margin maximization
- feature space
- support vector
- semi supervised
- learning tasks
- pattern recognition
- multi task
- feature selection
- supervised learning
- unsupervised learning
- image classification
- synthetic aperture radar
- mahalanobis metric
- text classification
- machine learning
- support vector machine
- pairwise
- decision trees
- dimensionality reduction
- small samples
- model selection
- distance function
- denoising
- least squares
- probabilistic model
- training set
- learning algorithm