The Mathematical Structure of Information Bottleneck Methods

Information Bottleneck-based methods use mutual information as a distortion function in order to extract relevant details about the structure of a complex system by compression. One of the approaches used to generate optimal compressed representations is by annealing a parameter. In this manuscript...

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Main Authors: Albert E. Parker, Tomáš Gedeon, Alexander G. Dimitrov
Format: Article
Language:English
Published: MDPI AG 2012-03-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/14/3/456/
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author Albert E. Parker
Tomáš Gedeon
Alexander G. Dimitrov
author_facet Albert E. Parker
Tomáš Gedeon
Alexander G. Dimitrov
author_sort Albert E. Parker
collection DOAJ
description Information Bottleneck-based methods use mutual information as a distortion function in order to extract relevant details about the structure of a complex system by compression. One of the approaches used to generate optimal compressed representations is by annealing a parameter. In this manuscript we present a common framework for the study of annealing in information distortion problems. We identify features that should be common to any annealing optimization problem. The main mathematical tools that we use come from the analysis of dynamical systems in the presence of symmetry (equivariant bifurcation theory). Through the compression problem, we make connections to the world of combinatorial optimization and pattern recognition. The two approaches use very different vocabularies and consider different problems to be “interesting”. We provide an initial link, through the Normalized Cut Problem, where the two disciplines can exchange tools and ideas.
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spelling doaj.art-9a37623f21794362ab5ea0ac45fa74c62022-12-22T04:25:16ZengMDPI AGEntropy1099-43002012-03-0114345647910.3390/e14030456The Mathematical Structure of Information Bottleneck MethodsAlbert E. ParkerTomáš GedeonAlexander G. DimitrovInformation Bottleneck-based methods use mutual information as a distortion function in order to extract relevant details about the structure of a complex system by compression. One of the approaches used to generate optimal compressed representations is by annealing a parameter. In this manuscript we present a common framework for the study of annealing in information distortion problems. We identify features that should be common to any annealing optimization problem. The main mathematical tools that we use come from the analysis of dynamical systems in the presence of symmetry (equivariant bifurcation theory). Through the compression problem, we make connections to the world of combinatorial optimization and pattern recognition. The two approaches use very different vocabularies and consider different problems to be “interesting”. We provide an initial link, through the Normalized Cut Problem, where the two disciplines can exchange tools and ideas.http://www.mdpi.com/1099-4300/14/3/456/information distortionspontaneous symmetry breakingbifurcationsphase transition
spellingShingle Albert E. Parker
Tomáš Gedeon
Alexander G. Dimitrov
The Mathematical Structure of Information Bottleneck Methods
Entropy
information distortion
spontaneous symmetry breaking
bifurcations
phase transition
title The Mathematical Structure of Information Bottleneck Methods
title_full The Mathematical Structure of Information Bottleneck Methods
title_fullStr The Mathematical Structure of Information Bottleneck Methods
title_full_unstemmed The Mathematical Structure of Information Bottleneck Methods
title_short The Mathematical Structure of Information Bottleneck Methods
title_sort mathematical structure of information bottleneck methods
topic information distortion
spontaneous symmetry breaking
bifurcations
phase transition
url http://www.mdpi.com/1099-4300/14/3/456/
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