Integrating fractal dimensionality reduction with cluster evolution tracking.
Guanghui YanYu XuXin ShuXiang LiMinghao AiZhiCheng MaPublished in: FSKD (2011)
Keyphrases
- dimensionality reduction
- data points
- low dimensional
- particle filter
- principal component analysis
- visual tracking
- real time
- kalman filter
- object tracking
- high dimensional data
- image compression
- high dimensional
- structure preserving
- principal components
- data representation
- manifold learning
- clustering algorithm
- high dimensionality
- appearance model
- feature space
- pattern recognition
- subspace clustering
- linear discriminant analysis
- hierarchical clustering
- least squares
- fractal dimension
- motion tracking
- feature extraction
- linear dimensionality reduction
- iterated function systems
- dealing with high dimensional data