Ha Quang Minh (Ph.D.)
Title
Unit Leader

Introduction

The Functional Analytic Learning Unit focuses on functional analytic and geometrical methods in machine learning, in particular methods based on Riemannian geometry, matrix and operator theory, and vector-valued Reproducing Kernel Hilbert Spaces (RKHS). An important direction is the theoretical formulations and algorithms based on the geometry of positive definite operators, especially RKHS covariance operators. The targeted application domains include, but are not limited to, functional data analysis, computer vision, image and signal processing, brain imaging, and brain computer interfaces.

Main Research Field
Computer Science
Research Field
Mathematics
Research Subjects
Vector-valued Reproducing Kernel Hilbert Spaces
Geometrical methods in machine learning
Laboratory Website URL
RIKEN Website URL