Latent space domain transfer between high dimensional overlapping distributions.
Sihong XieWei FanJing PengOlivier VerscheureJiangtao RenPublished in: WWW (2009)
Keyphrases
- latent space
- high dimensional
- transfer learning
- low dimensional
- parameter space
- lower dimensional
- cross domain
- dimensionality reduction
- latent variables
- manifold learning
- feature space
- gaussian process
- high dimensional spaces
- dimension reduction
- matrix factorization
- gaussian process latent variable models
- gaussian processes
- probabilistic latent semantic analysis
- reinforcement learning
- high dimensional data
- generative model
- data points
- active learning
- high dimensionality
- probability distribution
- machine learning
- distance metric
- random variables
- topic models
- principal component analysis
- collaborative filtering
- random projections
- higher dimensional
- nearest neighbor