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    Context-Aware Attention Network for Human Emotion Recognition in Video by Xiaodong Liu, Miao Wang

    Published 2020-01-01
    “…With the HEIV dataset, we trained a context-aware attention network (CAAN) to recognize human emotion. …”
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    Multi-strategy QoS-aware service selection and ranking model by Lei WU, Yu-long LIU, Shi-jun LIU

    Published 2012-09-01
    “…As the increment of services with same function and different QoS in the internet,in order to select and rank the services that fulfill users’ functionality requirements and QoS requirements,a multi-strategy QoS-aware service ranking and selection approach is presented.Considering service performance,and service operation,maintenance costs,an extended Web service QoS model was developed.To determine how well a service satisfies users’and operators’ concerned QoS requirements,a set of functions is presented to normalize services’QoS on various QoS aspects with different metrics and scales,also to compute services satisfaction scores ,and to combine the users’satisfaction scores and the operators’scores together as an overall satisfaction scores based on certain strategy.A prototype system was built for service selection and ranking,and the model above was verified through an application case.…”
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    Uncertainty-Aware Semi-Supervised Method for Pectoral Muscle Segmentation by Yutao Tang, Yongze Guo, Huayu Wang, Ting Song, Yao Lu

    Published 2025-01-01
    “…To improve the quality of target predictions while utilizing unlabeled data more efficiently, we propose an uncertainty-aware semi-supervised method that incorporates the breast anatomical prior, for pectoral muscle segmentation. …”
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    QoE-aware video distribution mechanism in FiWi by Ruyan WANG, Yan YANG, Dapeng WU

    Published 2018-01-01
    “…The mismatch of transmission ability causes the discontinuous transmission of video services in fiber-wireless access network,aimed at this problem,an QoE-aware video distribution mechanism was proposed.According to the structural characteristics of fiber-wireless access network,link state information and scalable video coding structure was considered,a QoE evaluation mode was established,and the particle swarm optimization algorithm was used to select optimal video transmission rate.Then the node transmission capacity and the node matching degree was analyzed,transmission path for the services was selected,so as to ensure the reliable transmission of services.The results show that the proposed mechanism can effectively improve the utilization rate of network resources and reduce network congestion while improving the quality of the user experience.…”
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