Deep Metric Learning using Similarities from Nonlinear Rank Approximations.
Konstantin SchallKai Uwe BarthelNico HezelKlaus JungPublished in: MMSP (2019)
Keyphrases
- metric learning
- pairwise similarities
- distance metric
- distance metric learning
- pairwise
- machine learning and pattern recognition
- dimensionality reduction
- semi supervised
- learning tasks
- distance function
- multi task
- mahalanobis metric
- kernel matrix
- similarity measure
- semi supervised learning
- kernel pca
- simple linear
- feature space
- learning problems
- euclidean distance
- unsupervised learning
- image classification
- multi class
- data sets
- subject to linear constraints