A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier.
Seiichi OzawaShaoning PangNikola K. KasabovPublished in: PRICAI (2004)
Keyphrases
- feature space
- feature selection
- training samples
- feature vectors
- support vector machine
- high dimensionality
- feature set
- mean shift
- incremental principal component analysis
- kernel function
- high dimensional
- dimensionality reduction
- image representation
- data points
- principal component analysis
- training set
- input data
- learning algorithm
- image retrieval
- hyperplane
- gaussian mixture model
- feature extraction
- training data
- low dimensional
- similarity measure
- visual words
- linear discriminant analysis
- computer vision
- manifold learning
- linear classifiers