Model Selection and Classification With Multiple Kernel Learning for Hyperspectral Images via Sparsity.
Yanfeng GuGuoming GaoDeshan ZuoDi YouPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2014)
Keyphrases
- model selection
- hyperspectral images
- multiple kernel learning
- cross validation
- feature selection
- hyperparameters
- kernel learning
- hyperspectral
- machine learning
- regression model
- sample size
- gaussian process
- generalization error
- unsupervised learning
- linear combination
- variable selection
- multispectral
- pattern recognition
- binary classification
- remote sensing
- kernel function
- high resolution
- kernel matrix
- image classification
- support vector machine
- learning problems
- high dimensional
- training set
- semi supervised learning
- support vector
- supervised learning