Cross Scene Prediction via Modeling Dynamic Correlation using Latent Space Shared Auto-Encoders
Shaochi Hu,Donghao Xu,Huijing Zhao,Shaochi Hu,Donghao Xu,Huijing Zhao
This work addresses on the following problem: given a set of unsynchronized history observations of two scenes that are correlative on their dynamic changes, the purpose is to learn a cross-scene predictor, so that with the observation of one scene, a robot can onlinely predict the dynamic state of the other. A method is proposed to solve the problem via modeling dynamic correlation using latent s...
