A scalable dual approach to semidefinite metric learning.
Chunhua ShenJunae KimLei WangPublished in: CVPR (2011)
Keyphrases
- metric learning
- semidefinite
- positive semidefinite
- semidefinite programming
- kernel matrix
- distance metric
- semi supervised
- primal dual
- learning tasks
- pairwise
- distance function
- interior point methods
- multi task
- convex relaxation
- dimensionality reduction
- sufficient conditions
- feature space
- multiple features
- higher dimensional
- convex optimization
- convex sets
- machine learning
- knn
- image segmentation
- image processing
- learning algorithm