Large Scale Discriminative Metric Learning.
Peter D. KirchnerMatthias BöhmBerthold ReinwaldDaby M. SowJ. Michael SchmidtDeepak S. TuragaAlain BiemPublished in: IPDPS Workshops (2014)
Keyphrases
- metric learning
- semi supervised
- discriminative information
- distance metric
- distance metric learning
- margin maximization
- pairwise
- machine learning and pattern recognition
- learning tasks
- dimensionality reduction
- multi task
- distance function
- mahalanobis metric
- feature space
- semi supervised learning
- unsupervised learning
- feature extraction
- subject to linear constraints
- unlabeled data
- distance measure
- nearest neighbor
- active learning
- training data
- learning algorithm
- background knowledge
- labeled data
- supervised learning
- pairwise constraints
- kernel learning
- e learning
- feature selection
- neural network