Kernel-based distance metric learning in the output space.
Cong LiMichael GeorgiopoulosGeorgios C. AnagnostopoulosPublished in: IJCNN (2013)
Keyphrases
- distance metric learning
- output space
- distance metric
- metric learning
- input space
- image classification
- semi supervised
- structured output
- dimensionality reduction
- kernel methods
- high dimensional
- training set
- data points
- class labels
- kernel function
- euclidean distance
- support vector machine
- maximum margin
- support vector
- high dimensional data
- feature space
- data sets
- low dimensional
- pairwise
- input data
- hyperplane
- machine learning