Results 21 to 30 of about 21,812 (251)
Two families of dependence measures between random variables are introduced. They are based on the Rényi divergence of order α and the relative
Amos Lapidoth, Christoph Pfister
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Accepted at The 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37)
Cam-Van Nguyen Thi +3 more
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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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MI$$^2$$GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint [PDF]
The first two authors contributed ...
Xinpeng Xie +5 more
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Feature selection methods are essential for accurate disease classification and identifying informative biomarkers. While information-theoretic methods have been widely used, they often exhibit limitations such as high computational costs. Our previously
Sehee Wang, So Yeon Kim, Kyung-Ah Sohn
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Comparison of co-expression measures: mutual information, correlation, and model based indices
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
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
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
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
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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