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检索条件"机构=Faculty of Computer Engineering and Information Technology"
14420 条 记 录,以下是4821-4830 订阅
排序:
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples
arXiv
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arXiv 2023年
作者: Liu, Jun Zhou, Jiantao Tian, Jinyu Sun, Weiwei Stake Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science Faculty of Science and Technology University of Macau China Faculty of Innovation Engineering Macau University of Science and Technology China Alibaba Group Hangzhou China
With the increasing prevalence of cloud computing platforms, ensuring data privacy during the cloud-based image related services such as classification has become crucial. In this study, we propose a novel privacy-pre... 详细信息
来源: 评论
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
arXiv
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arXiv 2023年
作者: Hao, Zhiwei Guo, Jianyuan Han, Kai Tang, Yehui Hu, Han Wang, Yunhe Xu, Chang School of information and Electronics Beijing Institute of Technology China Huawei Noah’s Ark Lab Canada School of Computer Science Faculty of Engineering The University of Sydney Australia
Knowledge distillation (KD) has proven to be a highly effective approach for enhancing model performance through a teacher-student training scheme. However, most existing distillation methods are designed under the as... 详细信息
来源: 评论
Accurate and Efficient Privacy-Preserving Feature Extraction on Encrypted Images
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IEEE Transactions on Dependable and Secure Computing 2025年
作者: Zheng, Peijia Fang, Xiongjie Zhou, Zhipeng Yang, Rui Lu, Wei Cao, Xiaochun Huang, Jiwu Sun Yat-Sen University School of Computer Science and Engineering Guangdong Province Key Laboratory of Information Security Technology MoE Key Laboratory of Information Technology Guangzhou510006 China Alibaba Group Hanzhou311121 China Shenzhen Campus of Sun Yat-sen University School of Cyber Science and Technology Shenzhen518100 China Shenzhen MSU-BIT University Guangdong Laboratory of Machine Perception and Intelligent Computing Faculty of Engineering Shenzhen518116 China
In cloud computing, it is necessary to outsource image processing algorithms securely without exposing private image content. The scale-invariant feature transform (SIFT) is a famous local descriptor widely used in co... 详细信息
来源: 评论
Multi-Label Text Classification for Judicial Texts via Dual Graph and Label Feature Fusion
Multi-Label Text Classification for Judicial Texts via Dual ...
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Smart World Congress (SWC), IEEE
作者: Qiliang Gu Qin Lu Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Qilu University of Technology (Shandong Academy of Sciences) Jinan China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan China
The legal judgement prediction (LJP) of judicial texts represents a multi-label text classification (MLTC) problem, which in turn involves three distinct tasks: the prediction of charges, legal articles, and terms of ... 详细信息
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Protein Complex Identification Method based on Weighted Subgraph Clustering and Biocompatibility Evaluation
Protein Complex Identification Method based on Weighted Subg...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Tie Hua Zhou Wanlin Zhang Ling Wang Xiaoyan Xia Keun Ho Ryu School of Computer Science Northeast Electric Power University Jilin China Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Vietnam College of Electrical and Computer Engineering Chungbuk National University Cheongju Republic of Korea
In this paper, we proposed a Weighted Subgraph Clustering for Protein Complex Identification (WSC-PCI) method , which combined with Gene Ontology (GO) annotations and improved Edge Clustering Coefficient (ECC) to inde... 详细信息
来源: 评论
Web Service Ranking based on QoS and Use Preference
Web Service Ranking based on QoS and Use Preference
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Conference on information and Knowledge technology
作者: Seyed Hossein Siadat Danial Ramezani Fatemeh Ahani Department of Operation Management and Information Technology Faculty of Management Kharazmi University Tehran Iran Faculty of Electrical Engineering Computer and Information Technology Islamic Azad University Qazvin Iran Department of Computer Science Islamic Azad University Iran
One of the most important issues of ranking is thousands of web service available. Finding and implementing algorithms that do ranking well, is very essential. The important issue is that after ranking and choosing th... 详细信息
来源: 评论
NCOD: Near-Optimum Video Compression for Object Detection
NCOD: Near-Optimum Video Compression for Object Detection
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: Ardavan Elahi Ali Falahati Farhad Pakdaman Mehdi Modarressi Moncef Gabbouj School of Electrical and Computer Engineering College of Eng. University of Tehran Iran Avanco.tech Faculty of Information Technology and Communication Sciences Tampere University Finland
With the emergence of technologies like smart cities, Internet of things (IoT), and 5G, the amount of produced visual data at the edges and remote nodes has exploded. Since for a considerable portion of the captured v...
来源: 评论
BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained Devices
arXiv
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arXiv 2024年
作者: Xu, Yongqi Lee, Yujian Yi, Gao Liu, Bosheng Chen, Yucong Liu, Peng Wu, Jigang Chen, Xiaoming Han, Yinhe Computer Science and Technology Guangdong University of Technology China Faculty of Science and Technology Beijing Normal University Hong Kong Baptist University United International College China School of Information Science and Engineering Lanzhou University China Institute of Computing Technology Chinese Academy of Sciences China
Deep neural networks (DNNs) are powerful for cognitive tasks such as image classification, object detection, and scene segmentation. One drawback however is the significant high computational complexity and memory con... 详细信息
来源: 评论
Assessing Students for Industry Readiness using Classification Methods  9
Assessing Students for Industry Readiness using Classificati...
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9th ACIS International Virtual Conference on Applied Computing and information technology, ACIT 2022
作者: Hossain Molla, Jakir Basak, Sandip Kumar Obaidullah, Sk Md Alam, Parveen Ahmed Goto, Takaaki Sen, Soumya Department of Computer Science and Engineering Aliah University India Department of Data Science Friedrich-Alexander-Universität Germany Department of Management & Business Administration Aliah University India Faculty of Information Sciences and Arts Toyo University Japan A.K.Choudhury School of Information Technology University of Calcutta India
Although Placement of students is an intrinsic requirement for the students worldwide majorly for professional as well as for higher degree courses. However, often the students are not aware about their skill levels t... 详细信息
来源: 评论
Two-Operation Buffering based on Dynamic Optical RAM
Two-Operation Buffering based on Dynamic Optical RAM
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International Conference on Modern Problems of Radio engineering, Telecommunications and computer Science
作者: Andriy Semenov Serhii Tsyrulnyk Serhii Baraban Olena Semenova Andrii Rudyk Anton Khloba Faculty of Information Electronic Systems Vinnytsia National Technical University Vinnytsia Ukraine Department of Computer Sciences and Digital Economy Vinnytsia National Agrarian University Vinnytsia Ukraine Faculty of Computing and Telecommunications Poznan University of Technology Poznan Poland Department of Automation Electrical Engineering and Computer-Integrated Technologies National University of Water and Environmental Engineering Rivne Ukraine
The authors of this paper propose a block diagram for a dual-operating buffer on a dynamic optical RAM. The buffer consists of two dynamic optical RAMs, each controlled separately to allow for simultaneous writing and... 详细信息
来源: 评论