A Grassmannian Minimum Enclosing Ball Approach for Common Subspace Extraction.
Emilie RenardKyle A. GallivanPierre-Antoine AbsilPublished in: LVA/ICA (2018)
Keyphrases
- subspace learning
- low dimensional
- dimensionality reduction
- linear subspace
- information extraction
- principal component analysis
- automatic extraction
- feature space
- knowledge extraction
- high dimensional data
- high dimensional
- learning algorithm
- data representation
- manifold learning
- pairwise
- sparse representation
- vision system
- image segmentation
- semi supervised
- lower dimensional
- data sets