Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking.
Fatemeh SheikholeslamiDimitris BerberidisGeorgios B. GiannakisPublished in: CoRR (2016)
Keyphrases
- feature extraction
- kernel pca
- kernel principal component analysis
- principal component analysis
- feature space
- dimensionality reduction
- kernel based nonlinear
- kernel methods
- real time
- kernel trick
- image processing
- linear discriminant analysis
- mean shift
- nonlinear kernel
- particle filter
- feature vectors
- face recognition
- multi class
- spectral clustering
- dimension reduction
- visual tracking
- object tracking
- subspace methods
- extracted features
- particle filtering
- discriminant analysis
- real world
- frequency domain
- preprocessing
- support vector machine
- low dimensional
- principal components
- online learning
- image classification
- subspace clustering
- independent components analysis
- subspace learning
- high dimensional feature space
- online algorithms
- high dimensional
- pattern recognition
- kernel classifiers
- appearance model
- support vector
- multiple kernel
- feature set
- principal components analysis
- kernel matrix
- support vector machine svm