Non-convex Optimization on Stiefel Manifold and Applications to Machine Learning.
Takafumi KanamoriAkiko TakedaPublished in: ICONIP (1) (2012)
Keyphrases
- convex optimization
- machine learning
- euclidean space
- interior point methods
- primal dual
- low rank
- convex optimization problems
- total variation
- low dimensional
- norm minimization
- convex formulation
- high dimensional
- feature selection
- support vector machine
- text classification
- machine learning algorithms
- convex relaxation
- reinforcement learning
- face recognition
- computer vision
- operator splitting
- shape analysis
- learning tasks
- transfer learning
- sparse representation
- semi supervised learning
- supervised learning
- active learning
- evolutionary algorithm
- feature space