Low-dimensionalization via Auto-encoder and Visualization

Abstract

In this paper, we pointed out the necessity of low-dimensional feature extraction in the fields of both artificial intelligence and visualization, and outlined a feature extraction method in the field of artificial intelligence, auto-encoder. We firstly described the structure of the auto-encoder and pointed out that the structure is related to a method recently used in the visualization field. In addition, the history that auto-encoder contributed to the development of present artificial intelligence is described, and recent research trend of auto-encoder is introduced. Finally, as an application example in visualization, we described our research using an auto-encoder for visualization of temporal behavior of an unsteady flow. It is expected that new usage of the structure of auto encoder will develop in both fields in the future.