Special Session:
Geometric Signal Processing and Information Geometry



Special Session: Geometric Signal Processing and Information Geometry

Chairs: Xiaoqiang Hua, National University of Defense Technology, China
Yongqiang Cheng, National University of Defense Technology, China

Information geometry is a new technology rising in the field of information science in recent years. It is the theoretical system that use differential geometry to solve information processing problems on Riemannian manifolds. Information geometry has achieved important research achievements in radar signal processing, computer vision, biomedical engineering and interdisciplinary fields, laying a foundation for further engineering applications. More broadly, the application category of information geometry includes the processing of information transformation, such as spatial dimension reduction, rank reduction, compression, mapping, etc., and also includes the methods of analyzing and processing problems by using the geometric characteristics of Riemannian manifold. All these analysis and processing methods are also called the geometric signal processing.

 


Papers for publication must be submitted in fulll paper electronically via
https://easychair.org/conferences/?conf=icct2022

Please select Track: Geometric Signal Processing and Information Geometry

This special session aims at bringing together researchers from academia and industry to identify and discuss the major technical challenges, recent breakthroughs, and novel applications related to information geometry and its applications. Topics of interest include but are not limited to:

Differential Geometry and Its Applications 微分几何及其应用
Riemannian Geometry and Its Applications 黎曼几何及其应用
Information Geometry and Its Applications 信息几何及其应用
Manifold Projection and Its Applications 流形投影及其应用
Spatial Transformation and Its Applications 空间变换及其应用
Subspace Signal Processing 子空间信号处理
Geometric Machine Learning 几何机器学习
Geometry Deep Learning 几何深度学习
Information Theory 信息论