Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples.
Junshi XiaJocelyn ChanussotPeijun DuXiyan HePublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- training samples
- training set
- support vector machine
- decision boundary
- training data
- hyperspectral data
- feature space
- hyperplane
- learning algorithm
- hyperspectral images
- base classifiers
- supervised learning
- decision function
- hyperspectral
- support vectors
- classification accuracy
- hyperspectral imagery
- weak classifiers
- nearest neighbor classifier
- nearest neighbor
- feature selection
- high dimensional
- classification algorithm
- feature vectors
- active learning
- classification method
- support vector machine svm
- multispectral
- support vector
- random projections
- k nearest neighbor
- text classification
- face images
- pattern recognition
- svm classifier
- remote sensing
- data sets
- multi class
- unsupervised learning
- high dimensionality
- kernel methods
- kernel function
- image analysis
- feature extraction
- decision trees
- machine learning