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检索条件"机构=Advanced Computer Engineering Lab"
1361 条 记 录,以下是181-190 订阅
排序:
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
arXiv
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arXiv 2023年
作者: Li, Boyan Leng, Luziwei Shen, Shuaijie Zhang, Kaixuan Zhang, Jianguo Liao, Jianxing Cheng, Ran The Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The Advanced Computing and Storage Lab Huawei Technologies Co. Ltd. Shenzhen518055 China
Advancements in adapting deep convolution architectures for Spiking Neural Networks (SNNs) have significantly enhanced image classification performance and reduced computational burdens. However, the inability of Mult... 详细信息
来源: 评论
Object Localization in the Presence of Noise
Object Localization in the Presence of Noise
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IEEE Conference on Aerospace
作者: Mridul Gupta Mary L. Comer Edward J. Delp Jonathan Chan Mitchell Krouss Paul Martens Moses W. Chan Video and Image Processing Lab (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette Indiana USA Advanced Technology Center Lockheed Martin Corporation Sunnyvale California USA
Detection and localization of small objects is crucial in many applications, such as surveillance, microscopy, and astronomy. In many space-based imaging applications, the spatial resolution of the imaging system is n... 详细信息
来源: 评论
ExpoEv: Enhancing Social Recommendation Service with Social Exposure and Feature Evolution
ExpoEv: Enhancing Social Recommendation Service with Social ...
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IEEE International Conference on Web Services (ICWS)
作者: Li Ma Zuowu Zheng Xiuqi Huang Zhaoxiang Zhang Xiaofeng Gao Jianxiong Guo Guihai Chen Department of Computer Science and Engineering MoE Key Lab of Artificial Intelligence Shanghai Jiao Tong University Shanghai China Advanced Institute of Natural Sciences Beijing Normal University Zhuhai China
Social networks are widely recognized as highly effective information sources for social recommendation services. However, previous social recommendation methods assumed that a user’s preference factor and social tru...
来源: 评论
Spacecraft Time-Series Online Anomaly Detection Using Deep Learning
Spacecraft Time-Series Online Anomaly Detection Using Deep L...
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IEEE Conference on Aerospace
作者: Sriram Baireddy Sundip R. Desai Richard H. Foster Moses W. Chan Mary L. Comer Edward J. Delp Video and Image Processing Lab (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette Indiana USA Advanced Technology Center Lockheed Martin Corporation Sunnyvale California USA
Anomaly detection in spacecraft telemetry channels is of great importance, especially considering the extremeness of the spacecraft operating environment. These anomalies often function as precursors for system failur... 详细信息
来源: 评论
Diffsound: Discrete Diffusion Model for Text-to-sound Generation
arXiv
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arXiv 2022年
作者: Yang, Dongchao Yu, Jianwei Wang, Helin Wang, Wen Weng, Chao Zou, Yuexian Yu, Dong The Advanced Data and Signal Processing laboratory School of Electronic and Computer Engineering Peking University China Tencent AI Lab United States
Generating sound effects that people want is an important topic. However, there are limited studies in this area for sound generation. In this study, we investigate generating sound conditioned on a text prompt and pr... 详细信息
来源: 评论
Environment-aware dynamic graph learning for out-of-distribution generalization  23
Environment-aware dynamic graph learning for out-of-distribu...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University and School of Computer Science and Engineering Beihang University Key Lab of Education Blockchain and Intelligent Technology Guangxi Normal University Department of Computer Science and Technology Tsinghua University Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University
Dynamic graph neural networks (DGNNs) are increasingly pervasive in exploiting spatio-temporal patterns on dynamic graphs. However, existing works fail to generalize under distribution shifts, which are common in real...
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FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Gr...
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作者: Liu, Siting Pu, Yuan Liao, Peiyu Wu, Hongzhong Zhang, Rui Chen, Zhitang Lv, Wenlong Lin, Yibo Yu, Bei The Chinese University of Hong Kong Department of Computer Science and Engineering Hong Kong Hong Kong Peking University School of Integrated Circuits Beijing100871 China HiSilicon Shenzhen518129 China Huawei Noah's Ark Lab Shatin Hong Kong Huawei Technologies Company Shenzhen China Beijing Advanced Innovation Center for Integrated Circuits Beijing100871 China
Running time is a key metric across the standard physical design flow stages. However, with the rapid growth in design sizes, routing runtime has become the runtime bottleneck in the physical design flow. As a result,... 详细信息
来源: 评论
Learned Bloom Filter for Multi-key Membership Testing  28th
Learned Bloom Filter for Multi-key Membership Testing
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28th International Conference on Database Systems for advanced Applications, DASFAA 2023
作者: Li, Yunchuan Wang, Ziwei Yang, Ruixin Zhao, Yan Zhou, Rui Zheng, Kai University of Electronic Science and Technology of China Chengdu China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Chengdu China Aalborg University Aalborg Denmark Cloud Database Innovation Lab of Cloud BU Huawei Technologies Co. Ltd. Chengdu China
Multi-key membership testing refers to checking whether a queried element exists in a given set of multi-key elements, which is a fundamental operation for computing systems and networking applications such as web sea... 详细信息
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Spiking Neural Networks for LPI Radar Waveform Recognition with Neuromorphic Computing
Spiking Neural Networks for LPI Radar Waveform Recognition w...
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IEEE National Conference on Radar
作者: Alex Henderson Steven Harbour Chris Yakopcic Tarek Taha David Brown Justin Tieman Garrett Hall Dayton Engineering Advanced Projects Lab Southwest Research Institute Beavercreek OH Department of Electrical and Computer Engineering University of Dayton Dayton OH Advanced Electronic Warfare Department Southwest Research Institute Warner Robins GA RF Sensors and Systems Department Southwest Research Institute San Antonio TX
The ultra-wideband, frequency agile and high duty cycle features of Low Probability of Intercept (LPI) radar pose serious concerns for passive radar detection systems that must efficiently identify LPI radar modulatio...
来源: 评论
Efficient COVID-19 detection using data mining algorithms: a comparison of basic and hybrid approaches
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Soft Computing 2025年 第3期29卷 1437-1451页
作者: Saidi, Mohammad Gheibi, Mohammad Ghazikhani, Adel Lotfata, Aynaz Chahkandi, Benyamin Familsamavati, Sajad Behzadian, Kourosh Department of Computer Science Imam Reza International University Mashhad Iran MS of Software Engineering Information and Communication Technology Unit Mashhad Municipality Fire and Safety Services Organization Mashhad Iran Big Data Lab Imam Reza International University Mashhad Iran Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Liberec46117 Czech Republic Tallinn10615 Estonia Department of Pathology Microbiology and Immunology School of Veterinary Medicine University of California Davis95616 United States Department of Urban and Regional Planning San Jose State University San Jose95192 United States Faculty of Civil and Environmental Engineering Gdansk University of Technology Narutowicza Street 11/12 80-233 Gdansk Poland Tecnologico de Monterrey Escuela de Ingeniería y Ciencias Monterrey Mexico School of Computing and Engineering University of West London London United Kingdom
Accurate and efficient diagnosis of COVID-19 remains a significant challenge due to the limitations of current detection methods, such as blood tests and chest scans, which can be time-consuming and error-prone. This ... 详细信息
来源: 评论