Feature Extractions for Small Sample Size Classification Problem.
Bor-Chen KuoKuang-Yu ChangPublished in: IEEE Trans. Geosci. Remote. Sens. (2007)
Keyphrases
- small sample size
- high dimensionality
- sample size
- linear discriminant analysis
- face recognition
- high dimensional
- feature set
- feature selection
- feature vectors
- sample space
- high dimensional data
- feature representation
- discriminative features
- microarray data
- pattern classification
- feature ranking
- machine learning
- support vector machine svm
- principal component analysis
- classification accuracy
- training set
- pattern recognition
- support vector
- feature extraction
- decision trees
- input data
- text classification
- probabilistic model
- prior knowledge
- bayesian networks
- neural network