Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning.
Calvin MurdockFernando De la TorrePublished in: ICCV (2017)
Keyphrases
- subspace learning
- dimensionality reduction
- linear subspace
- low dimensional
- principal component analysis
- data representation
- manifold learning
- face recognition
- discriminative subspace
- maximum margin criterion
- sparse representation
- sparse coding
- semi supervised
- high dimensional data
- subspace learning algorithm
- subspace analysis
- grassmann manifold
- high dimensional
- feature space
- neural network
- data mining
- locality preserving projections
- image classification
- pattern recognition
- computer vision
- discriminant subspace