On the Sample Complexity of Subspace Learning.
Alessandro RudiGuillermo D. CañasLorenzo RosascoPublished in: NIPS (2013)
Keyphrases
- subspace learning
- dimensionality reduction
- data representation
- manifold learning
- principal component analysis
- sparse representation
- low dimensional
- face recognition
- sparse coding
- high dimensional data
- learning algorithm
- maximum margin criterion
- subspace learning algorithm
- semi supervised
- data sets
- dimension reduction
- active learning
- prior knowledge
- high dimensional
- fisher criterion
- data mining