Discrimination on the grassmann manifold: Fundamental limits of subspace classifiers.
Matthew S. NoklebyMiguel R. D. RodriguesA. Robert CalderbankPublished in: ISIT (2014)
Keyphrases
- grassmann manifold
- fundamental limits
- nearest neighbor classifier
- stochastic gradient
- subspace learning
- component analysis
- image set
- feature selection
- distance measure
- training data
- training samples
- machine learning algorithms
- support vector
- decision trees
- linear subspace
- dimensionality reduction
- feature set
- nearest neighbor
- low dimensional
- least squares
- step size
- high quality
- machine learning