An improvement to linear regression classification for face recognition.
Yali PengJingcheng KeShigang LiuJun LiTao LeiPublished in: Int. J. Mach. Learn. Cybern. (2019)
Keyphrases
- linear regression
- regression problems
- face recognition
- kernel density estimators
- least squares
- feature extraction
- classification accuracy
- regression methods
- nonlinear regression
- linear regression model
- regression method
- recognition rate
- text classification
- pattern classification
- feature vectors
- support vector machine svm
- machine learning
- fisher linear discriminant
- decision trees
- regression trees
- locally weighted
- ridge regression
- probability models
- class labels
- k nearest neighbour
- linear models
- model selection
- training set
- feature space
- support vector
- computer vision