Unsupervised Manifold Alignment with Joint Multidimensional Scaling.
Dexiong ChenBowen FanCarlos G. OliverKarsten M. BorgwardtPublished in: ICLR (2023)
Keyphrases
- manifold alignment
- multidimensional scaling
- transfer learning
- low dimensional
- domain adaptation
- cluster analysis
- lower dimensional
- euclidean distance
- dimensionality reduction
- kernel pca
- principal component analysis
- unsupervised learning
- vector space
- transfer knowledge
- semi supervised
- latent semantic indexing
- geodesic distance
- high dimensional data
- pattern recognition
- euclidean space
- labeled data
- high dimensional
- feature space
- feature extraction
- learning algorithm
- data sets
- kernel function
- learning tasks
- target domain
- data analysis
- reinforcement learning