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Estimation of Mutual Information: A Survey [PDF]
, 2009 A common problem found in statistics, signal processing, data analysis and image processing research is the estimation of mutual information, which tends to be difficult. The aim of this survey is threefold: an introduction for those new to the field, an
Janett Walters-Williams +3 more
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MULTI-FEATURE MUTUAL INFORMATION IMAGE REGISTRATION
Image Analysis and Stereology, 2012 Nowadays, information-theoretic similarity measures, especially the mutual information and its derivatives, are one of the most frequently used measures of global intensity feature correspondence in image registration.
Dejan Tomaževič +2 more
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On the Estimation of Mutual Information
Proceedings, 2020 In this paper we focus on the estimation of mutual information from finite samples ( X × Y ) . The main concern with estimations of mutual information (MI) is their robustness under the class of transformations for which it remains invariant:
Nicholas Carrara, Jesse Ernst
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Mutual Information and Information Gating in Synfire Chains
Entropy, 2018 Coherent neuronal activity is believed to underlie the transfer and processing of information in the brain. Coherent activity in the form of synchronous firing and oscillations has been measured in many brain regions and has been correlated with enhanced
Zhuocheng Xiao +3 more
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Mutual information for testing gene-environment interaction. [PDF]
PLoS ONE, 2009 Despite current enthusiasm for investigation of gene-gene interactions and gene-environment interactions, the essential issue of how to define and detect gene-environment interactions remains unresolved.
Xuesen Wu, Li Jin, Momiao Xiong
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Quantifying emergence in terms of persistent mutual information [PDF]
, 2010 We define Persistent Mutual Information (PMI) as the Mutual (Shannon) Information between the past history of a system and its evolution significantly later in the future.
MacKay, Robert S. +5 more
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Structure Learning of Bayesian Network Based on Adaptive Thresholding
Entropy, 2019 Direct dependencies and conditional dependencies in restricted Bayesian network classifiers (BNCs) are two basic kinds of dependencies. Traditional approaches, such as filter and wrapper, have proved to be beneficial to identify non-significant ...
Yang Zhang +3 more
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Soybean Leaf Disease Recognition Based on Sem-ResFormer and Multimodal Large Models
AgronomyIn response to the challenges of insufficient multi-scale feature representation and limited model adaptability in soybean leaf disease recognition from field images, a semantic residual Transformer (Sem-ResFormer) model is proposed for soybean leaf ...
Xiaoming Li +8 more
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Quantum Mutual Information, Fragile Systems and Emergence
Entropy, 2022 In this paper, we present an analytical description of emergence from the density matrix framework as a state of knowledge of the system, and its generalized probability formulation.
Yasmín Navarrete, Sergio Davis
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Regulating for mutual gains? Non-union employee representation and the information and consultation directive [PDF]
, 2014 Interest in ‘mutual gains’ has principally been confined to studies of the unionised sector. Yet there is no reason why this conceptual dynamic cannot be extended to the non-unionised realm, specifically in relation to non-union employee representation ...
Dobbins, Tony +10 more
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