High--Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality
Abstract
High-dimensional data and high-dimensional representations of reality are inherent features of modern Artificial Intelligence systems and applications of machine learning. The well-known phenomenon of the "curse of dimensionality" states: many problems become exponentially difficult in high dimensions. Recently, the other side of the coin, the "blessing of dimensionality", has attracted much attention. It turns out that generic high-dimensional datasets exhibit fairly simple geometric properties. Thus, there is a fundamental tradeoff between complexity and simplicity in high dimensional spaces. Here we present a brief explanatory review of recent ideas, results and hypotheses about the blessing of dimensionality and related simplifying effects relevant to machine learning and neuroscience.
Keywords
Cite
@article{arxiv.2001.04959,
title = {High--Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality},
author = {Alexander N. Gorban and Valery A. Makarov and Ivan Y. Tyukin},
journal= {arXiv preprint arXiv:2001.04959},
year = {2020}
}
Comments
18 pages, 5 figures