Hybrid Dimensionality Reduction Method Based on Support Vector Machine and Independent Component Analysis.
Sangwoo MoonHairong QiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2012)
Keyphrases
- independent component analysis
- dimensionality reduction methods
- principal component analysis
- support vector machine
- dimensionality reduction
- independent components
- principal components analysis
- feature space
- discriminant projection
- knn
- discriminant analysis
- factor analysis
- principal components
- blind source separation
- feature extraction
- signal processing
- covariance matrix
- dimension reduction
- linear discriminant analysis
- k nearest neighbor
- preprocessing step
- machine learning
- face recognition
- data sets
- low dimensional
- training data
- support vector
- random projections
- singular value decomposition
- lower dimensional
- nearest neighbor
- kernel methods
- distance measure
- feature selection
- feature vectors
- pattern recognition
- classification accuracy
- radial basis function
- support vector machine svm