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Information Geometry: applications to signal processing and machine learning

Grant number: 21/04516-8
Support type:Scholarships in Brazil - Master
Effective date (Start): December 01, 2021
Effective date (End): July 31, 2023
Field of knowledge:Engineering - Electrical Engineering - Telecommunications
Principal researcher:Sueli Irene Rodrigues Costa
Grantee:Henrique Koji Miyamoto
Home Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

This project concerns study and research in the field of Information Geometry, which analyses the intrinsic geometry of families of probability distributions and statistical models, aiming particularly at applications in data processing and data analysis. Methods from this field, which are based on differential/Riemannian geometry, have been recently used in different contexts. The objective of this project is to study the foundations and contributions to this subject, and to research new efficient approaches and algorithms in applications to signal processing and machine learning.

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