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Information bottleneck method

The information bottleneck method is a technique in information theory introduced by Naftali Tishby, Fernando C. Pereira, and William Bialek. for… 
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Papers overview

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Highly Cited
2018
Highly Cited
2018
The Information Bottleneck method is a powerful and generic tool from the field of machine learning. It compresses an observation… 
2016
2016
  • Di ChenV. Kühn
  • 2016
  • Corpus ID: 21011749
The compression step of the Cloud Radio Access Networks (C-RAN) is studied in this paper. In order to maximize the achievable sum… 
2015
2015
We utilize the Information Bottleneck method in a discrete density evolution scheme that was introduced by Brian M. Kurkoski et… 
2010
2010
We present a novel approach to automatically discover object categories from a collection of unlabeled images. This is achieved… 
2009
2009
This paper explores a novel approach for the extraction of relevant information in speaker recognition tasks. This approach uses… 
2008
2008
A wireless relay network with two sources, one relay, and one destination is considered. In case of erroneous source-relay links… 
2006
2006
The extraction of statistically independent components from high-dimensional multi-sensory input streams is assumed to be an… 
2003
2003
We argue that K–means and deterministic annealing algorithms for geometric clustering can be derived from the more general… 
2000
2000
Discovering relevant, but possibly hidden, variables is a key step in constructing useful and predictive theories about the…