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基于脉冲神经网络的语义理解及推理研究 学位论文
, 2024
Authors:  姜承志
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脉冲神经网络  
面向自动驾驶的车路协同融合目标检测技术研究 学位论文
, 2024
Authors:  张才集
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自动驾驶  车路协同  环境感知  目标检测  
基于光电容积脉搏波的无创连续血压检测方法研究 学位论文
, 2024
Authors:  赵锦
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血压  光电容积脉搏波  快速傅里叶变换  深度学习  校准策略  迁移学习  
基于精细运动想象范式的机械臂控制系统设计与研究 学位论文
, 2024
Authors:  王宇
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脑-机接口  运动想象  机械臂控制系统  单侧肢体  机器学习  
面向特征学习的图像开集识别方法研究 学位论文
, 2024
Authors:  孙珈因
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开集识别  分布建模  层级注意力  频域滤波  反事实去混淆  直推式框架  
Enhance the Performance of Directional Feature-based Palmprint Recognition by Directional Response Stability Measurement 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 597-614
Authors:  Haitao Wang;  Wei Jia
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Biometrics, palmprint recognition, directional response stability, directional coding-based methods, directional feature  
Generalized Embedding Machines for Recommender Systems 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 571-584
Authors:  Enneng Yang;  Xin Xin;  Li Shen;  Yudong Luo;  Guibing Guo
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Feature interactions, high-order interaction, factorization machine (FM), recommender system, graph neural network (GNN)  
Dual Frequency Transformer for Efficient SDR-to-HDR Translation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 538-548
Authors:  Gang Xu;  Qibin Hou;  Ming-Ming Cheng
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Standard-dynamic-range to high-dynamic-range (SDR-to-HDR) translation, Transformer, dual frequency attention (DFA), frequency-aware feature decomposition, efficient model  
Overhead-free Noise-tolerant Federated Learning: A New Baseline 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 526-537
Authors:  Shiyi Lin;  Deming Zhai;  Feilong Zhang;  Junjun Jiang;  Xianming Liu;  Xiangyang Ji
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Federated learning, noise-label learning, privacy-preserving machine learning, edge intelligence, distributed machine learning  
Structural Dependence Learning Based on Self-attention for Face Alignment 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 514-525
Authors:  Biying Li;  Zhiwei Liu;  Wei Zhou;  Haiyun Guo;  Xin Wen;  Min Huang;  Jinqiao Wang
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Computer vision, face alignment, self-attention, facial structure, contextual information