High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation?
Nicolas PapadakisRomain YildizogluJean-François AujolVicent CasellesPublished in: SIAM J. Imaging Sci. (2013)
Keyphrases
- convex relaxation
- convex optimization
- multi label
- high dimension
- globally optimal
- optimization problems
- graph cuts
- multiple kernel learning
- text categorization
- multilabel classification
- total variation
- high dimensional
- computer vision
- unsupervised learning
- image classification
- objective function
- reinforcement learning
- bayesian networks