Metric and Kernel Learning using a Linear Transformation.
Prateek JainBrian KulisJason V. DavisInderjit S. DhillonPublished in: CoRR (2009)
Keyphrases
- linear transformation
- kernel learning
- semidefinite program
- distance metric
- metric learning
- kernel matrix
- semi supervised
- kernel trick
- learning tasks
- pairwise constraints
- pairwise
- distance measure
- linear model
- euclidean distance
- distance function
- dimensionality reduction
- data points
- semi supervised learning
- multiple features
- multiple kernel learning
- zernike moments
- least squares
- machine learning
- transfer learning
- regression model
- kernel function
- low dimensional
- collaborative filtering
- pattern recognition