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
doaj +3 more sources
An epilepsy prediction and management system based on federated learning combined with hybrid harmony search and mutual information (HAS-MI)-based feature selection approach. [PDF]
Sci RepEpilepsy represents a widespread neurological disorder that causes unexpected seizure occurrences which produce significant obstacles for daily life activities in people worldwide. Real-time seizure detection accuracy stands vital for safeguarding patients while ensuring timely interventions and bettering their quality of life.
Khan MAR +6 more
europepmc +5 more sources
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation [PDF]
CoRR, 2020 Updated for UAI, 2020 camera-ready ...
Arnab Kumar Mondal +5 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
+5 more sources
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation [PDF]
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023 Conversion rate (CVR) prediction models play a vital role in recommendation and advertising systems. Recent research on multi-scenario recommendation shows that learning a unified model to serve multiple scenarios is effective for improving overall performance.
Wenzhuo Cheng +5 more
openalex +2 more sources
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]
CoRR, 2023 Accepted at The 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37)
Cam-Van Thi Nguyen +3 more
openalex +4 more sources
An Information-Theoretic Analysis of High-Frequency Load Disaggregation [PDF]
EntropyHigh-frequency non-intrusive load monitoring provides detailed harmonic information for appliances’ power disaggregation, and machine-learning approaches have demonstrated good performance in this task.
Gabriel Arquelau Pimenta Rodrigues +4 more
doaj +2 more sources
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
+8 more sources
Schur-MI: Fast Mutual Information for Robotic Information Gathering [PDF]
Mutual information (MI) is a principled and widely used objective for robotic information gathering (RIG), providing strong theoretical guarantees for sensor placement (SP) and informative path planning (IPP). However, its high computational cost, dominated by repeated log-determinant evaluations, has limited its use in real-time planning.
Kalvik Jakkala +2 more
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