An automatic kernel parameter selection method for kernel nonparametric weighted feature extraction with the RBF kernel for hyperspectral image classification.
Pei-Jyun HsiehCheng-Hsuan LiBor-Chen KuoPei-Ling TsaiPublished in: IGARSS (2015)
Keyphrases
- parameter selection
- rbf kernel
- kernel function
- feature extraction
- support vector machine svm
- radial basis function
- ls svm
- machine learning
- kernel methods
- support vector machine
- support vector
- cross validation
- basis functions
- covariance matrix
- feature space
- dimension reduction
- improved algorithm
- kernel matrix
- similarity measure
- data mining