Results 11 to 20 of about 24,894,856 (287)
Entropy, 2022 Digital communication receivers extract information about the transmitted data from the received signal in subsequent processing steps, such as synchronization, demodulation and channel decoding.
Jan Lewandowsky +2 more
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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 ...
Anton Bardera +4 more
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Multivariate Time Series Information Bottleneck
Entropy, 2023 Time series (TS) and multiple time series (MTS) predictions have historically paved the way for distinct families of deep learning models. The temporal dimension, distinguished by its evolutionary sequential aspect, is usually modeled by decomposition ...
Denis Ullmann +2 more
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Reliable shop floor bottleneck detection for flow lines through process and inventory observations: the bottleneck walk [PDF]
Logistics Research, 2015 Bottleneck detection in manufacturing is the key to improving production efficiency and stability in order to improve capacity. Yet, common bottleneck detection methods in industry and academia lack either accuracy or practicability, or both, for dynamic
Christoph Roser +2 more
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Distributed Information Bottleneck Method for Discrete and Gaussian Sources
CoRR, 2017 We study the problem of distributed information bottleneck, in which multiple encoders separately compress their observations in a manner such that, collectively, the compressed signals preserve as much information as possible about another signal.
Estella Aguerri, Iñaki +1 more
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Compact and informative representation learning for scRNA-seq data clustering with masked information bottleneck [PDF]
BMC BiologyBackground Single-cell RNA sequencing (scRNA-seq) provides unprecedented opportunities to characterize cellular heterogeneity. However, the high sparsity, noise, and redundancy inherent in gene expression data often obscure biologically meaningful ...
Xiaoqiang Yan +3 more
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The Mathematical Structure of Information Bottleneck Methods [PDF]
Entropy, 2012 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.
Tomás Gedeon +2 more
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Information Bottleneck Message Passing for Military Applications
, 2021 S.9-16Military communication systems naturally have strong requirements concerning the reliability and the robustness of their physical layer data transmission schemes.
Lewandowsky, J. +5 more
core +3 more sources
Mining Causality via Information Bottleneck [PDF]
Jisuanji kexue, 2022 Causal discovery from observational data is a fundamental problem in many disciplines.However,existing methods such as constraint-based methods and causal function-based methods have strong assumptions on the causal mechanism of data,and are only ...
QIAO Jie, CAI Rui-chu, HAO Zhi-feng
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Information Bottleneck Methods for Distributed Learning [PDF]
2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2018 We study a distributed learning problem in which Alice sends a compressed distillation of a set of training data to Bob, who uses the distilled version to best solve an associated learning problem. We formalize this as a rate-distortion problem in which the training set is the source and Bob's cross-entropy loss is the distortion measure.
Parinaz Farajiparvar +2 more
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