Regularized least square discriminant projection and feature selection.
Jun ShiZhiguo JiangDanpei ZhaoHao FengChao GaoPublished in: J. Electronic Imaging (2014)
Keyphrases
- least squares
- discriminant projection
- feature selection
- dimensionality reduction
- feature extraction
- dimensionality reduction methods
- manifold learning
- discriminant analysis
- linear discriminant analysis
- preprocessing step
- high dimensionality
- dimension reduction
- feature space
- text categorization
- feature selection algorithms
- support vector
- text classification
- ls svm
- high dimensional data
- machine learning
- low dimensional
- image processing
- high dimensional
- optical flow
- information retrieval
- singular value decomposition
- feature set
- support vector machine
- classification accuracy
- knn
- feature subset
- principal components
- model selection
- principal component analysis
- neural network
- k nearest neighbor