Adaptive Metric Learning with the Low Rank Constraint.
Yuan FangYan YanHanzi WangSi ChenXinbo GaoPublished in: ICIMCS (2016)
Keyphrases
- low rank
- metric learning
- semi supervised
- kernel matrix
- pairwise constraints
- distance metric
- missing data
- matrix factorization
- convex optimization
- pairwise
- rank minimization
- linear combination
- semi supervised learning
- singular value decomposition
- learning tasks
- multi task
- high order
- unsupervised learning
- high dimensional data
- feature space
- labeled data
- dimensionality reduction
- semidefinite programming
- kernel learning
- supervised learning
- computer vision
- distance function
- kernel function
- euclidean distance
- manifold learning
- pattern recognition