Keyphrases
- low dimensional
- subspace clustering
- subspace learning
- object detection
- principal component analysis
- dimensionality reduction
- linear subspace
- feature space
- neural network
- feature extraction
- kernel based nonlinear
- principal components analysis
- lower dimensional
- high dimensional data
- input data
- principal components
- data analysis
- learning algorithm
- machine learning
- subspace methods
- eigendecomposition
- appearance cues
- real time