Hyperspectral Image Classification Based on a Least Square Bias Constraint Additional Empirical Risk Minimization Nonparallel Support Vector Machine.
Guangxin LiuLiguo WangDanfeng LiuPublished in: Remote. Sens. (2022)
Keyphrases
- empirical risk minimization
- support vector machine
- statistical learning theory
- hyperspectral image classification
- least squares
- structural risk minimization
- active learning
- uniform convergence
- empirical risk
- hyperspectral images
- support vector
- generalization bounds
- generalization ability
- decision function
- support vector machine svm
- vc dimension
- hyperspectral
- phase transition
- feature selection
- svm classifier
- data sets
- statistical learning
- inductive inference
- kernel function
- learning problems
- sample size
- mutual information
- supervised learning
- knn
- feature vectors
- training set
- rates of convergence
- training data
- image processing