A Mahalanobis metric learning-based polynomial kernel for classification of hyperspectral images.
Li LiChao SunLianlei LinJunbao LiShouda JiangPublished in: Neural Comput. Appl. (2018)
Keyphrases
- metric learning
- hyperspectral images
- nearest neighbor classification
- feature space
- distance metric
- hyperspectral
- polynomial kernels
- learning tasks
- pairwise
- semi supervised
- classification accuracy
- kernel matrix
- distance function
- dimensionality reduction
- linearly separable
- multi task
- pattern recognition
- remote sensing
- support vector machine
- machine learning
- support vector
- feature vectors
- semi supervised learning
- image classification
- kernel function
- high dimensional
- text classification
- multispectral
- machine learning algorithms
- unsupervised learning
- feature set
- supervised learning
- knn
- reinforcement learning
- image processing