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检索条件"机构=The Key Lab.of Intelligent Computing and Signal Processing"
301 条 记 录,以下是21-30 订阅
排序:
Improving Transferability Reversible Adversarial Examples Based on Flipping Transformation
Improving Transferability Reversible Adversarial Examples Ba...
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作者: Youqing Fang Jingwen Jia Yuhai Yang Wanli Lyu Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University
Adding subtle perturbations to an image can cause the classification model to misclassify, and such images are called adversarial examples. Adversarial examples threaten the safe use of deep neural networks, but when ...
来源: 评论
A Dual-Band Compact Four-Element MIMO Antenna for Sub-6G Applications  13
A Dual-Band Compact Four-Element MIMO Antenna for Sub-6G App...
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13th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2021
作者: Pan, Tao Sun, Yufa Anhui University Key Lab Of Intelligent Computing Signal Processing Ministry Of Education Hefei230601 China
A compact Sub-6GHz multiple-input-multiple-output (MIMO) antenna is presented in this paper. The recommended MIMO antenna is electrically small (38mm × 38 mm× 1.6 mm). For good isolation and miniaturized siz... 详细信息
来源: 评论
A Wideband Six-Port 5G MIMO Mobile Phone Antenna  13
A Wideband Six-Port 5G MIMO Mobile Phone Antenna
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13th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2021
作者: Shi, Ce Sun, Yufa Anhui University Key Lab Of Intelligent Computing Signal Processing Ministry Of Education Hefei230601 China
This paper introduces a compact wideband 6 port multiple-input multiple-output (MIMO) antenna for the 5G handset. Each antenna elements uses coupling feed, and I-shaped grounding structure is added to the unit to obta... 详细信息
来源: 评论
Adaptively feature matching via joint transformational-spatial clustering
Adaptively feature matching via joint transformational-spati...
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作者: Wang, Linbo Tan, Li Fang, Xianyong Guo, Yanwen Wan, Shaohua MOE Key Laboratory of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei China National Key Lab for Novel Software Technology Nanjing University Nanjing China School of Information and Safety Engineering Zhongnan University of Economics and Law Wuhan China
The transformational and spatial proximities are important cues for identifying inliers from an appearance based match set because correct matches generally stay close in input images and share similar local transform... 详细信息
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FastICA based single-channel radar signal separation algorithm
FastICA based single-channel radar signal separation algorit...
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IET International Radar Conference (IRC 2023)
作者: Xinyu Wang Jin Zhao Xianliang Wu Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei People's Republic of China
Aiming at the traditional blind source separation for the received single-channel mixed radar signal makes it difficult to accurately recover the source signal, a single-channel radar signal comprehensive separation m...
来源: 评论
Adversarial Example Generation Method Based on Probability Histogram Equalization
Adversarial Example Generation Method Based on Probability H...
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Chinese Control Conference (CCC)
作者: Youqing Fang Jingwen Jia Yuhai Yang Wan-Li Lyu Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei China
CNNs (Convolutional Neural Networks) have a good performance on most classification tasks, but they are vulnerable when meeting adversarial examples. Research and design of highly aggressive adversarial examples can h...
来源: 评论
A miniaturized double-sided UWB-MIMO antenna with four-notched band
A miniaturized double-sided UWB-MIMO antenna with four-notch...
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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)
作者: Qitao Chen Yufa Sun Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University HeFei China
A $\boldsymbol{40}\times\boldsymbol{40}\times \boldsymbol{1.6}\mathbf{mm}^{3}$ ultra-wideband MIMO antenna is proposed in this paper. The antenna realizes four-notched band characteristics by embedding different typ... 详细信息
来源: 评论
SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks
SES: Bridging the Gap Between Explainability and Prediction ...
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International Conference on Data Engineering
作者: Zhenhua Huang Kunhao Li Shaojie Wang Zhaohong Jia Wentao Zhu Sharad Mehrotra Anhui University Hefei China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Hefei China Amazon Research Seattle USA University of California Irvine Irvine USA
Despite the Graph Neural Networks' (GNNs) pro-ficiency in analyzing graph data, achieving high-accuracy and interpretable predictions remains challenging. Existing GNN interpreters typically provide post-hoc expla... 详细信息
来源: 评论
SGCN: A Scalable Graph Convolutional Network with Graph-Shaped Kernels and Multi-Channels
SSRN
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SSRN 2023年
作者: Huang, Zhenhua Zhou, Wenhao Li, Kunhao Jia, Zhaohong School of Internet Anhui University Feixi Road Hefei230039 China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Hefei China
Graph neural networks (GNNs) have shown great success in graph processing. However, current message-passing-based GNNs have limitations in feature aggregations and update mechanisms that rely on a fixed mode, resultin... 详细信息
来源: 评论
High Capacity Reversible Data Hiding Scheme based on Interpolation and Tetris Matrix
High Capacity Reversible Data Hiding Scheme based on Interpo...
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第41届中国控制会议
作者: Fei-Fei Qian Nuo Xu Wan-Li Lyu Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui University
Interpolation technology has evolved into a powerful tool for reversible data hiding in the image processing ***,existing interpolated algorithms only have a trivial impact on image *** this paper,an innovative interp... 详细信息
来源: 评论