A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling.
Mostafa RahmaniGeorge K. AtiaPublished in: ICML (2016)
Keyphrases
- subspace learning
- low rank approximation
- dimensionality reduction
- high dimensional
- matrix decomposition
- low dimensional
- sparse coding
- manifold learning
- high dimensional data
- data matrix
- principal component analysis
- semi supervised
- feature space
- multiscale
- parameter space
- low rank
- sparse representation
- gene expression data
- learning algorithm
- face recognition