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Advances in Uncertain Information Fusion. [PDF]
Entropy (Basel)Information fusion is the combination of information from multiple sources, which aims to draw more comprehensive, specific, and accurate inferences about the world than are achievable from the individual sources in isolation [...]
Jiao L.
europepmc +4 more sources
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction [PDF]
IEEE International Conference on Robotics and Automation, 2021 Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving. Applying deep learning to this problem requires fusing heterogeneous world state in the form of rich perception signals and map ...
Balakrishnan Varadarajan +10 more
semanticscholar +1 more source
Decoupled Side Information Fusion for Sequential Recommendation [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 Side information fusion for sequential recommendation (SR) aims to effectively leverage various side information to enhance the performance of next-item prediction.
Yueqi Xie, Peilin Zhou, Sunghun Kim
semanticscholar +1 more source
Annual Progress of the Sea-detecting X-band Radar and Data Acquisition Program
Leida xuebao, 2021 There is an urgent need for radar-measured data to tackle key technologies of radar maritime target detection. The ‘‘Sea-detecting X-band Radar and Data Acquisition Program’’, proposed in 2019, aims to obtain data through radar experiments and share them
Ningbo LIU +5 more
doaj +1 more source
Track Segment Association via track graph representation learning
IET Radar, Sonar & Navigation, 2021 Traditional Track Segment Association (TSA) methods used track position vectors or other track information to get association results. However, simply extracting the track position information to form track vectors will lead to the loss of irregular ...
Wei Xiong +5 more
doaj +1 more source
Ship Target Identification via Bayesian-Transformer Neural Network
Journal of Marine Science and Engineering, 2022 Ship target identification is of great significance in both military and civilian fields. Many methods have been proposed to identify the targets using tracks information. However, most of existing studies can only identify two or three types of targets,
Zhan Kong +5 more
doaj +1 more source
Specific Emitter Identification Based on Software-Defined Radio and Decision Fusion
IEEE Access, 2021 Specific emitter identification (SEI) uses the unintentional modulation information carried by the emitter waveform, i.e., radio frequency fingerprints, to realize the matching identification of the received signal and its corresponding emitter.
Kaiwen Tan +4 more
doaj +1 more source
A Semi-supervised Emitter Identification Method for Imbalanced Category
Leida xuebao, 2022 This paper proposes an SEI method based on cost-sensitive learning and semisupervised generative adversarial networks to address the problem of incomplete sample labels and imbalanced data category distribution in Specific Emitter Identification (SEI ...
Kaiwen TAN +5 more
doaj +1 more source
Information Fusion over Network Dynamics with Unknown Correlations: An Overview
International Journal of Network Dynamics and Intelligence, 2023 Survey/review study Information Fusion over Network Dynamics with Unknown Correlations: An Overview Wangyan Li 1, and Fuwen Yang 2,* 1 College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China 2 Griffth School of ...
Wangyan Li, Fuwen Yang
semanticscholar +1 more source
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation [PDF]
AAAI Conference on Artificial Intelligence, 2021 Sequential recommender systems aim to model users’ evolving interests from their historical behaviors, and hence make customized time-relevant recommendations.
Chang Liu +5 more
semanticscholar +1 more source