Low Rank Metric Learning via Accelerated Gradient Optimization.
Yuanyuan ShenYan YanHanzi WangPublished in: ICIMCS (2014)
Keyphrases
- low rank
- metric learning
- semi supervised
- kernel matrix
- missing data
- distance metric
- linear combination
- pairwise
- matrix factorization
- dimensionality reduction
- learning tasks
- high dimensional data
- convex optimization
- singular value decomposition
- semi supervised learning
- low rank matrix
- semidefinite programming
- labeled data
- kernel learning
- high order
- feature space
- multi task
- pairwise constraints
- distance function
- active learning
- unsupervised learning
- low dimensional
- markov random field
- data points
- image segmentation
- convex relaxation
- neural network