Hybrid Classification for Face Recognition with Virtual Samples and Ensemble Neural Networks.
Yeon-Sik RyuSe-Young OhPublished in: Intell. Autom. Soft Comput. (2002)
Keyphrases
- neural network
- face recognition
- pattern recognition
- training set
- training samples
- final classification
- feature selection
- classification accuracy
- rule extraction
- image classification
- fisher linear discriminant
- neural networks and support vector machines
- majority voting
- classification method
- svm classifier
- text classification
- machine learning
- discriminant analysis
- data sets
- optimum path forest
- decision tree classifiers
- multiple classifiers
- classifier ensemble
- ensemble classifier
- multi layer perceptron
- training process
- ensemble methods
- feature space
- classification algorithm
- self organizing maps
- back propagation
- supervised learning
- principal component analysis
- face images
- recognition rate
- support vector machine
- support vector machine svm
- facial images
- classification models
- ensemble learning
- feature vectors
- virtual environment
- pattern classification
- feature extraction
- semi supervised
- decision trees
- weak learners
- fuzzy logic
- feature set
- computer vision
- machine learning methods
- face detection
- artificial neural networks