Improved principal component analysis and linear regression classification for face recognition.
Yani ZhuChaoyang ZhuXiaoxin LiPublished in: Signal Process. (2018)
Keyphrases
- linear regression
- face recognition
- principal component analysis
- regression problems
- fisher linear discriminant
- least squares
- feature extraction
- dimension reduction
- kernel density estimators
- face images
- linear discriminant analysis
- discriminant analysis
- feature space
- classification accuracy
- linear regression model
- feature vectors
- regression methods
- locally weighted
- decision trees
- support vector
- machine learning
- support vector machine svm
- principal components
- face databases
- regression method
- nonlinear regression
- dimensionality reduction
- computer vision
- support vector machine
- kernel principal component analysis
- ridge regression
- pattern classification
- k nearest neighbour
- feature selection