Enhancing Optical Correlation Decision Performance for Face Recognition by Using a Nonparametric Kernel Smoothing Classification.
Matthieu SaumardMarwa ElbouzMichael AronAyman AlfalouChristian BrosseauPublished in: Sensors (2019)
Keyphrases
- face recognition
- support vector
- decision rules
- parzen window
- pattern classification
- feature extraction
- feature space
- kernel discriminant analysis
- pattern recognition
- classification accuracy
- fisher linear discriminant
- support vector machine
- classification method
- kernel methods
- text classification
- decision makers
- computer vision
- density estimation
- correlation filters
- kernel function
- decision making
- image classification
- face images
- generalized discriminant analysis
- nonparametric regression
- discriminant analysis
- facial images
- feature vectors
- machine learning
- feature analysis
- principle component analysis
- multi class
- subspace methods
- class separability
- feature representation
- feature set
- probability density function
- training samples
- support vector machine svm