Joint Dimensionality Reduction and Metric Learning: A Geometric Take.
Mehrtash Tafazzoli HarandiMathieu SalzmannRichard I. HartleyPublished in: ICML (2017)
Keyphrases
- metric learning
- dimensionality reduction
- distance metric learning
- high dimensional
- machine learning and pattern recognition
- distance metric
- high dimensional data
- feature space
- pairwise
- manifold learning
- low dimensional
- principal component analysis
- dimensionality reduction methods
- linear transformation
- data points
- kernel matrix
- data representation
- feature extraction
- feature selection
- linear discriminant analysis
- unsupervised learning
- semi supervised
- euclidean distance
- distance function
- pattern recognition
- multi task
- learning tasks
- semi supervised learning
- kernel learning
- kernel pca
- multi class
- data sets