Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics [PDF]
Complexity, 2021 This study deals with the problem of radar waveform design based on the weighted mutual information (MI) and the difference of two mutual information metrics (DMI) in signal-dependent interference. Since the target and clutter information are included in
Fengming Xin +4 more
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MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization [PDF]
, 2023 Generalization capabilities of learning-based medical image segmentation across domains are currently limited by the performance degradation caused by the domain shift, particularly for ultrasound (US) imaging. The quality of US images heavily relies on carefully tuned acoustic parameters, which vary across sonographers, machines, and settings.
Yuan Bi +5 more
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C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation [PDF]
, 2020 Updated for UAI, 2020 camera-ready ...
Arnab Kumar Mondal +5 more
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GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction [PDF]
Robotics: Science and Systems XXIThis research tackles the challenge of real-time active view selection and uncertainty quantification on visual quality for active 3D reconstruction. Visual quality is a critical aspect of 3D reconstruction. Recent advancements such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have notably enhanced the image rendering quality of ...
Yuhan Xie +4 more
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Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization [PDF]
, 2023 Accepted at The 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37)
Cam-Van Thi Nguyen +3 more
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LBF‐MI: Limited Boolean Functions and Mutual Information to Infer a Gene Regulatory Network from Time‐Series Gene Expression Data [PDF]
GenesBackground: In the realm of system biology, it is a challenging endeavor to infer a gene regulatory network from time-series gene expression data. Numerous Boolean network inference techniques have emerged for reconstructing a gene regulatory network from a time-series gene expression dataset. However, most of these techniques pose scalability concerns
Shohag Barman +6 more
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MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint [PDF]
, 2020 The first two authors contributed ...
Xinpeng Xie +5 more
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, 2020 Air passenger traffic prediction is crucial for the effective operation of civil aviation airports. Despite some progress in this field, the prediction accuracy and methods need further improvement. This paper proposes an integrated approach to the prediction of air passenger index as follows.
Honglin Xiong +4 more
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Iraqi Journal for Electrical and Electronic Engineering, 2023 Breast cancer is one of the most critical diseases suffered by many people around the world, making it the most common medical risk they will face. This disease is considered the leading cause of death around the world, and early detection is difficult. In the field of healthcare, where early diagnosis based on machine learning (ML) helps save patients’
Mohammed Hashim, Ali Yassin
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MI-GCN: Node Mutual Information-based Graph Convolutional Network [PDF]
Companion Proceedings of the Web Conference 2022, 2022 Lei Tian, Huaming Wu
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