Results 51 to 60 of about 15,770,233 (254)
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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Natural image segmentation based on mutual information [PDF]
MATEC Web of Conferences, 2020 Natural image segmentation plays an important role in the fields of image processing and computer vision. Image segmentation based on clustering is an important method in unsupervised image segmentation algorithms.
Zhu Yiwei
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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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Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Modeling Categorical Variables by Mutual Information Decomposition
Entropy, 2023 This paper proposed the use of mutual information (MI) decomposition as a novel approach to identifying indispensable variables and their interactions for contingency table analysis.
Jiun-Wei Liou +2 more
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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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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Advances in Applied Mathematics, 1995 The mutual information of two random variables plays fundamental roles in many areas of applied mathematics. This quantity can be generalized to finite sets of random variables. In contrast to the nonnegativity of the usual mutual information, the triple mutual information can be negative as well as positive and its sign gives us a rough indication of ...
openaire +3 more sources
Mutual Information, Fisher Information, and Population Coding [PDF]
Neural Computation, 1998 In the context of parameter estimation and model selection, it is only quite recently that a direct link between the Fisher information and information-theoretic quantities has been exhibited. We give an interpretation of this link within the standard framework of information theory.
Brunel, Nicolas, Nadal, Jean-Pierre
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Application of Generalized Partial Volume Estimation for Mutual Information based Registration of High Resolution SAR and Optical Imagery [PDF]
, 2008 Mutual information (MI) has proven its effectiveness for automated multimodal image registration for numerous remote sensing applications like image fusion.
Reinartz, Peter, Suri, Sahil
core