A Linear Feature Extraction for Multiclass Classification Problems Based on Class Mean and Covariance Discriminant Information.
Pi-Fuei HsiehDeng-Shiang WangChia-Wei HsuPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2006)
Keyphrases
- linear feature extraction
- discriminant information
- feature extraction
- dimensionality reduction
- linear discriminant analysis
- face recognition
- covariance matrices
- preprocessing step
- locality preserving projections
- intra class
- data points
- fisher criterion
- principal component analysis
- small sample size
- graph embedding
- discriminant analysis
- null space
- image classification
- covariance matrix
- object recognition
- maximum likelihood
- nearest neighbor
- manifold learning
- pattern recognition
- image space
- feature vectors
- high dimensional