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09/15/2023
One-stage Modality Distillation for Incomplete Multimodal Learning
Learning based on multimodal data has attracted increasing interest rece...
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04/17/2023
MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning
Multimodal learning has shown great potentials in numerous scenes and at...
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01/30/2023
Behavioural Reports of Multi-Stage Malware
The extensive damage caused by malware requires anti-malware systems to ...
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05/17/2022
DynPL-SVO: A New Method Using Point and Line Features for Stereo Visual Odometry in Dynamic Scenes
Stereo visual odometry is widely used where a robot tracks its position ...
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10/11/2021
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
Automatic modulation recognition (AMR) is a promising technology for int...
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05/09/2021
The effects of regularisation on RNN models for time series forecasting: Covid-19 as an example
Many research papers that propose models to predict the course of the CO...
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01/05/2020
Adaptive fractional order graph neural network
This paper proposes adaptive fractional order graph neural network (AFGN...
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12/06/2019
A Model-driven and Data-driven Fusion Framework for Accurate Air Quality Prediction
Air quality is closely related to public health. Health issues such as c...
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01/23/2019