Results 21 to 30 of about 3,629,477 (294)
Discrete Polar Decoder using Information Bottleneck Method [PDF]
ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2019 Polar codes are attracting much attention and being used for control channels of the 5th generation of mobile communication system (5G). As a feature, it is easier to implement encoder and decoder than Turbo codes and LDPC (Low Density Parity Check ...
Akira Yamada, T. Ohtsuki
semanticscholar +3 more sources
Image Segmentation Using Information Bottleneck Method [PDF]
IEEE Transactions on Image Processing, 2009 In image processing, segmentation algorithms constitute one of the main focuses of research. In this paper, new image segmentation algorithms based on a hard version of the information bottleneck method are presented. The objective of this method is to extract a compact representation of a variable, considered the input, with minimal loss of mutual ...
A. Bardera +4 more
semanticscholar +5 more sources
The information bottleneck method [PDF]
, 1999 We define the relevant information in a signal $x\in X$ as being the information that this signal provides about another signal $y\in \Y$. Examples include the information that face images provide about the names of the people portrayed, or the ...
Bialek, William +2 more
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A Variational Information Bottleneck Method for Network Intrusion Detection
Journal of Communications, 2022 The increasing application of machine learning to network intrusion detection has shown great successes in the recent years. To reduce the high dimension of captured network records for classifiers to learn efficiently, various feature reduction methods ...
V. Thieu, Nguyen The Anh, Tran Hoang Hai
semanticscholar +2 more sources
Coarsely Quantized Decoding and Construction of Polar Codes Using the Information Bottleneck Method
Algorithms, 2019 The information bottleneck method is a generic clustering framework from the field of machine learning which allows compressing an observed quantity while retaining as much of the mutual information it shares with the quantity of primary relevance as ...
Syed Aizaz Ali Shah +2 more
doaj +2 more sources
A novel tensor-information bottleneck method for multi-input single-output applications
Computer Networks, 2021 Ensuring timeliness and mobility for multimedia computing is a crucial task for wireless communication. Previous algorithms that utilize information channels, such as the information bottleneck method, have shown great performance and efficiency, which ...
L. Lu +5 more
semanticscholar +2 more sources
The Information Bottleneck method for Optimal Prediction of Multilevel Agent-Based Systems [PDF]
Advances in Complex Systems, 2016 Because the dynamics of complex systems is the result of both decisive local events and reinforced global effects, the prediction of such systems could not do without a genuine multilevel approach. This paper proposes to found such an approach on information theory. Starting from a complete microscopic description of the system dynamics, we are looking
Robin Lamarche-Perrin +2 more
semanticscholar +3 more sources
Registration-Based Segmentation Using the Information Bottleneck Method [PDF]
Iberian Conference on Pattern Recognition and Image Analysis, 2007 We present two new clustering algorithms for medical image segmentation based on the multimodal image registration and the information bottleneck method. In these algorithms, the histogram bins of two registered multimodal 3D-images are clustered by minimizing the loss of mutual information between them. Thus, the clustering of histogram bins is driven
A. Bardera +4 more
semanticscholar +2 more sources
Document clustering using word clusters via the information bottleneck method
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, 2000 We present a novel implementation of the recently introduced information bottleneck method for unsupervised document clustering. Given a joint empirical distribution of words and documents, p(x, y), we first cluster the words, Y, so that the obtained word clusters, Ytilde;, maximally preserve the information on the documents.
N. Slonim, Naftali Tishby
semanticscholar +2 more sources
Information-Theoretic Intrinsic Motivation for Reinforcement Learning in Combinatorial Routing [PDF]
EntropyIntrinsic motivation provides a principled mechanism for driving exploration in reinforcement learning when external rewards are sparse or delayed.
Ruozhang Xi, Yao Ni, Wangyu Wu
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