Latent Space Domain Transfer between High Dimensional Overlapping Distributions

This paper combines different techniques for learning across different knowledge domains. SVM Regression is used to fill up missing values, and SVD is used to reduce dimensions. A theoretical bound for the two combined techniques is provided.