Results 11 to 20 of about 401,065 (270)
MI$$^2$$GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint [PDF]
, 2020 The first two authors contributed ...
Xie, Xinpeng +5 more
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On the Difference between the Information Bottleneck and the Deep Information Bottleneck
Entropy, 2020 Combining the information bottleneck model with deep learning by replacing mutual information terms with deep neural nets has proven successful in areas ranging from generative modelling to interpreting deep neural networks. In this paper, we revisit the
Aleksander Wieczorek, Volker Roth
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Comparing Regression Techniques for Temperature Downscaling in Different Climate Classifications
Engineering Proceedings, 2023 This study aims to identify the optimal regression techniques for downscaling among ten commonly used methods in climatology, including SVR, LinearSVR, LASSO, LASSOCV, Elastic Net, Bayesian Ridge, RandomForestRegressor, AdaBoost Regressor, KNeighbors ...
Ali Ilghami Kkhosroshahi +3 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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On Achievable Rates for Long-Haul Fiber-Optic Communications [PDF]
, 2015 Lower bounds on mutual information (MI) of long-haul optical fiber systems for hard-decision and soft-decision decoding are studied. Ready-to-use expressions to calculate the MI are presented.
Alvarado, Alex +3 more
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Spatial Mutual Information as Similarity Measure for 3-D Brain Image Registration
IEEE Journal of Translational Engineering in Health and Medicine, 2014 Information theoretic-based similarity measures, in particular mutual information, are widely used for intermodal/intersubject 3-D brain image registration.
Qolamreza R. Razlighi +1 more
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Video Summarization Based on Mutual Information and Entropy Sliding Window Method
Entropy, 2020 This paper proposes a video summarization algorithm called the Mutual Information and Entropy based adaptive Sliding Window (MIESW) method, which is specifically for the static summary of gesture videos.
WenLin Li +4 more
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Entropy, 2023 A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity functions and Estimated Mutual Information (EMI) are used as learning and
Chenguang Lu
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Entropy, 2019 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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Least Dependent Component Analysis Based on Mutual Information [PDF]
, 2004 We propose to use precise estimators of mutual information (MI) to find least dependent components in a linearly mixed signal. On the one hand this seems to lead to better blind source separation than with any other presently available algorithm.
A. Cichocki +22 more
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