Sparse Bayesian approach for metric learning in latent space.
Davood ZabihzadehReza MonsefiHadi Sadoghi YazdiPublished in: Knowl. Based Syst. (2019)
Keyphrases
- metric learning
- latent space
- distance metric
- dimensionality reduction
- feature space
- high dimensional
- random projections
- low dimensional
- sparse representation
- lower dimensional
- latent variables
- manifold learning
- data points
- multi task
- semi supervised
- euclidean distance
- learning tasks
- pairwise
- gaussian process
- distance function
- transfer learning
- high dimensional data
- generative model
- parameter space
- distance measure
- principal component analysis
- gaussian processes
- nearest neighbor
- data sets
- similarity search
- training data
- feature selection