The goal of this work is to translate streams of data from individual sensors into a shared manifold-space for joint understanding and processing. This work includes investigation of computational topology for manifold learning, data summarization, and intrinsic dimensionality estimation. In practice, for a given application, processing chains are generally developed for a particular sensor or set of sensors.
F6-M Adaptive Manifold Learning for Multi-Sensor Translation and Fusion given Missing Data
![](http://nsfcbl.ai/wp-content/uploads/2022/06/F6-Yr2-150x150.png)