Scalable Metric Learning for Co-Embedding.
Farzaneh MirzazadehMartha WhiteAndrás GyörgyDale SchuurmansPublished in: ECML/PKDD (1) (2015)
Keyphrases
- metric learning
- maximum variance unfolding
- distance metric
- distance metric learning
- pairwise
- semi supervised
- machine learning and pattern recognition
- learning tasks
- nonlinear dimensionality reduction
- distance function
- semi supervised clustering
- nearest neighbor classification
- dimensionality reduction
- feature space
- multi task
- semi supervised learning
- subject to linear constraints
- graph embedding
- laplacian eigenmaps
- mahalanobis metric
- background knowledge
- distance measure
- multi class
- image processing
- learning algorithm
- machine learning
- data sets