Kernel-based Subspace Analysis for Face Recognition.
Pohsiang TsaiTony JanTom HintzPublished in: IJCNN (2007)
Keyphrases
- subspace analysis
- face recognition
- subspace methods
- linear discriminant analysis
- subspace learning
- face images
- mixture model
- kernel pca
- recognition rate
- kernel methods
- low dimensional
- linear subspace
- face databases
- discriminant analysis
- support vector
- support vector machine
- principal component analysis
- recognition accuracy
- principle component analysis
- sparse representation
- independent component analysis
- face detection
- human faces
- prediction accuracy
- machine learning
- image representation
- generative model
- multi view
- dimensionality reduction
- high dimensional
- feature extraction
- computer vision