Incremental learning of feature space and classifier for face recognition.
Seiichi OzawaSoon Lee TohShigeo AbeShaoning PangNikola K. KasabovPublished in: Neural Networks (2005)
Keyphrases
- incremental learning
- feature space
- face recognition
- fuzzy artmap
- linear discriminant analysis
- feature extraction
- generalized discriminant analysis
- principal component analysis
- training set
- discriminant analysis
- training samples
- feature selection
- feature set
- feature vectors
- incremental learning algorithm
- high dimensional
- dimensionality reduction
- classification accuracy
- face images
- support vector machine
- semi supervised
- input data
- learning process
- unlabeled samples
- kernel function
- input space
- iterative learning
- mean shift
- neural learning
- recognition rate
- supervised learning
- batch learning
- computer vision
- kernel methods
- classification algorithm
- feature subset
- hyperplane
- high dimensional feature space
- batch mode
- face detection
- low dimensional
- facial expressions
- data points
- support vector
- decision boundary
- kernel pca
- training data