Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers.
Matthew S. NoklebyMiguel R. D. RodriguesA. Robert CalderbankPublished in: CoRR (2014)
Keyphrases
- grassmann manifold
- fundamental limits
- nearest neighbor classifier
- stochastic gradient
- subspace learning
- component analysis
- image set
- feature selection
- support vector
- training samples
- nearest neighbor
- training set
- decision trees
- linear subspace
- distance measure
- training data
- dynamic time warping
- learning algorithm
- dimensionality reduction
- image classification
- machine learning algorithms
- face images