Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning.
Yiu-ming CheungJian LouPublished in: CIKM (2016)
Keyphrases
- low rank
- matrix completion
- subspace learning
- norm regularization
- convex optimization
- high dimensional data
- semi supervised
- group lasso
- dimensionality reduction
- linear combination
- missing data
- singular value decomposition
- matrix factorization
- sparse representation
- low dimensional
- high order
- sparse coding
- total variation
- principal component analysis
- data representation
- nearest neighbor
- small number
- high dimensional