Kernel-view based discriminant approach for embedded feature extraction in high-dimensional space.
Miao ChengBin FangChi-Man PunYuan Yan TangPublished in: Neurocomputing (2011)
Keyphrases
- feature extraction
- discriminant analysis
- feature space
- kernel fisher discriminant analysis
- kernel principal component analysis
- principal component analysis
- class separability
- face recognition
- discriminant projection
- high dimensional
- discriminant subspace
- preprocessing
- feature selection
- image classification
- feature vectors
- kernel function
- dimensionality reduction
- appearance based face recognition
- kernel pca
- pattern classification
- linear discriminant analysis
- embedded systems
- support vector
- component analysis
- dimension reduction
- kernel methods
- feature set
- pattern recognition
- principle component analysis
- multi view
- low dimensional
- support vector machine svm
- texture features
- image processing
- convolution kernel
- reproducing kernel hilbert space
- feature representation
- wavelet transform
- input space
- similarity measurement
- image retrieval
- gaussian processes
- speaker identification
- extracted features
- feature extraction and classification
- frequency domain
- texture analysis
- computer vision