Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction.
Giulia LuiseDimitris StamosMassimiliano PontilCarlo CilibertoPublished in: CoRR (2019)
Keyphrases
- low rank
- structured prediction
- convex optimization
- missing data
- matrix factorization
- linear combination
- maximum margin
- singular value decomposition
- high dimensional data
- semi supervised
- conditional random fields
- high order
- markov networks
- efficient learning
- total variation
- learning algorithm
- multi class
- active learning
- multi task
- pairwise
- feature extraction