Multi-Task Low-Rank Metric Learning Based on Common Subspace.
Peipei YangKaizhu HuangCheng-Lin LiuPublished in: ICONIP (2) (2011)
Keyphrases
- metric learning
- multi task
- low rank
- high dimensional data
- rank minimization
- multi task learning
- kernel matrix
- learning tasks
- semi supervised
- missing data
- dimensionality reduction
- singular value decomposition
- convex optimization
- linear combination
- multi class
- low dimensional
- matrix factorization
- feature selection
- learning problems
- gaussian processes
- high dimensional
- transfer learning
- high order
- feature space
- data analysis
- principal component analysis
- nearest neighbor
- multiple kernel learning
- unsupervised learning
- data points
- data sets
- kernel learning
- text categorization
- feature extraction
- information gain
- machine learning
- least squares