Anomaly preserving l2, ∞-optimal dimensionality reduction over a Grassmann manifold.
Oleg KuybedaDavid MalahMeir BarzoharPublished in: IEEE Trans. Signal Process. (2010)
Keyphrases
- grassmann manifold
- dimensionality reduction
- subspace learning
- stochastic gradient
- component analysis
- image set
- high dimensional data
- low dimensional
- high dimensional
- principal component analysis
- high dimensionality
- nearest neighbor classifier
- data sets
- feature space
- linear subspace
- feature selection
- data points
- data representation
- pattern recognition
- feature extraction
- machine learning