Exploring Locally Adaptive Dimensionality Reduction for Hyperspectral Image Classification: A Maximum Margin Metric Learning Aspect.
Yanni DongBo DuLiangpei ZhangLefei ZhangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2017)
Keyphrases
- metric learning
- locally adaptive
- maximum margin
- dimensionality reduction
- multi task
- hyperplane
- support vector
- input space
- learning algorithm
- distance metric
- feature space
- learning tasks
- data points
- high dimensional data
- high dimensional
- principal component analysis
- low dimensional
- dimensionality reduction methods
- feature extraction
- semi supervised
- pattern recognition
- feature selection
- unsupervised learning
- multiple kernel learning
- support vector machine
- principal components
- pairwise
- machine learning
- manifold learning
- euclidean distance
- maximum likelihood
- random projections
- kernel learning
- data sets
- transfer learning
- background knowledge
- learning experience
- semi supervised learning
- model selection