A modification of kernel discriminant analysis for high-dimensional data - with application to face recognition.
Dake ZhouZhenmin TangPublished in: Signal Process. (2010)
Keyphrases
- high dimensional data
- kernel discriminant analysis
- dimensionality reduction
- linear discriminant analysis
- discriminant analysis
- high dimensionality
- low dimensional
- kernel trick
- high dimensional
- data points
- dimension reduction
- data sets
- nearest neighbor
- similarity search
- input space
- multi class
- pattern recognition
- feature extraction
- principal component analysis
- low rank
- manifold learning
- random projections
- principal components analysis
- preprocessing step
- dimensionality reduction methods
- feature selection
- feature space
- data analysis
- face recognition
- sparse representation
- kernel function
- variable selection
- lower dimensional
- kernel learning
- kernel methods
- euclidean distance
- image processing