Dimensionality reduction based on nonparametric discriminant analysis with kernels for feature extraction and recognition.
Jun-Bao LiShu-Chuan ChuJeng-Shyang PanPublished in: ICUIMC (2010)
Keyphrases
- feature extraction
- dimensionality reduction
- linear discriminant analysis
- nonparametric discriminant analysis
- face recognition
- feature space
- pattern recognition
- principal component analysis
- scatter matrix
- low dimensional
- feature vectors
- discriminant analysis
- image processing
- dimension reduction
- support vector machine svm
- kernel trick
- feature selection
- preprocessing step
- high dimensional data
- face images
- high dimensionality
- kernel methods
- input space
- feature set
- object recognition
- discriminative information
- dimensionality reduction methods
- multiple kernel learning
- data representation
- similarity search
- kernel learning
- facial expression recognition
- manifold learning
- data points
- wavelet transform