Reexamining Low Rank Matrix Factorization for Trace Norm Regularization.
Carlo CilibertoDimitris StamosMassimiliano PontilPublished in: CoRR (2017)
Keyphrases
- norm regularization
- convex optimization
- matrix completion
- low rank
- canonical correlation analysis
- regularization methods
- total variation
- sparse representation
- group lasso
- loss function
- multiple kernel learning
- max margin
- matrix factorization
- edge preserving
- regression model
- image restoration
- multi class
- regularization method
- denoising
- variable selection
- linear combination
- feature selection
- regularization parameter
- missing data
- nearest neighbor
- semi supervised