Results 31 to 40 of about 20,567 (255)
International Journal of Biomedical Imaging, 2007 Traditional mutual information (MI) function aligns two multimodality images with intensity information, lacking spatial information, so that it usually presents many local maxima that can lead to inaccurate registration.
Jiangang Liu, Jie Tian
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Comparison of co-expression measures: mutual information, correlation, and model based indices
BMC Bioinformatics, 2012 Background Co-expression measures are often used to define networks among genes. Mutual information (MI) is often used as a generalized correlation measure.
Song Lin +2 more
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Achievable information rate optimization in C-band optical fiber communication system
Frontiers of Optoelectronics, 2023 Optical fiber communication networks play an important role in the global telecommunication network. However, nonlinear effects in the optical fiber and transceiver noise greatly limit the performance of fiber communication systems.
Zheng Liu +5 more
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Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter
Entropy, 2020 Image fusion is a very practical technology that can be applied in many fields, such as medicine, remote sensing and surveillance. An image fusion method using multi-scale decomposition and joint sparse representation is introduced in this paper.
Yudan Liu +5 more
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Energy and Information Fluxes at Upper Ocean Density Fronts
Fluids, 2023 We present large eddy simulations of a midlatitude open ocean front using a modified state-of-the-art computational fluid dynamics code. We investigate the energy and information fluxes at the submesoscale/small-scale range in the absence of any ...
Pablo Cornejo, Adolfo Bahamonde
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Conditional Rényi Divergence Saddlepoint and the Maximization of α-Mutual Information
Entropy, 2019 Rényi-type generalizations of entropy, relative entropy and mutual information have found numerous applications throughout information theory and beyond. While there is consensus that the ways A.
Changxiao Cai, Sergio Verdú
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A Novel Nonparametric Feature Selection Approach Based on Mutual Information Transfer Network
Entropy, 2022 The filter feature selection algorithm is habitually used as an effective way to reduce the computational cost of data analysis by selecting and implementing only a subset of original features into the study.
Kunmei Li, Nasser Fard
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Parallel mutual information estimation for inferring gene regulatory networks on GPUs
BMC Research Notes, 2011 Background Mutual information is a measure of similarity between two variables. It has been widely used in various application domains including computational biology, machine learning, statistics, image processing, and financial computing.
Liu Weiguo +3 more
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Amplification, Inference, and the Manifestation of Objective Classical Information
Entropy, 2022 Our everyday reality is characterized by objective information—information that is selected and amplified by the environment that interacts with quantum systems.
Michael Zwolak
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