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检索条件"任意字段=Conference on Parallel and Distributed Methods for Image Processing III"
552 条 记 录,以下是11-20 订阅
A Noise-Based Approach Augmented with Neural Cleanse and JPEG Compression to Counter Adversarial Attacks on image Classification Systems  33
A Noise-Based Approach Augmented with Neural Cleanse and JPE...
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33rd Euromicro International conference on parallel, distributed, and Network-Based processing, PDP 2025
作者: Kotenko, Igor Saenko, Igor Lauta, Oleg Vasiliev, Nikita Sadovnikov, Vladimir Laboratory of Computer Security Problems Saint-Petersburg Russia Admiral Makarov State University of Maritime and Inland Shipping Department of Telecommunications and Information Security Saint-Petersburg Russia
Adversarial attacks are now becoming quite a dangerous means of disrupting image processing systems that use machine learning methods for decision making. Therefore, developing effective countermeasures against advers... 详细信息
来源: 评论
Scalable SubXPCA on a distributed Platform Applied to Classification of Hyperspectral images  8
Scalable SubXPCA on a Distributed Platform Applied to Classi...
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8th IEEE International conference on Information and Communication Technology, CICT 2024
作者: Rupa, Bogolu Negi, Atul School of Computer and Information Sciences University of Hyderabad India Vardhaman College of Engineering Department of Computer Science and Engineering Telangana Hyderabad India
The exponential growth of technological advancements in satellite and airborne remote sensing is giving rise to large volumes of high-dimensional hyperspectral image data. Apache Spark is one of the most popular, exte... 详细信息
来源: 评论
parallel vs distributed Edge Detection for Large Medical image Datasets  10
Parallel vs Distributed Edge Detection for Large Medical Ima...
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10th E-Health and Bioengineering conference, EHB 2022
作者: Ivanescu, Renato Constantin Nagy, Rodica Ofiteru, Anca Istrate Comanescu, Cristina Manda, Alexandru Department of Computers and Information Technology University of Craiova Craiova Romania University of Medicine and Pharmacy of Craiova University of Craiova Craiova Romania
The medical routine of the future is strongly influenced by medical information technology. The quality and efficiency of medicine are at higher standards due to the image-based methods and the increase in computation... 详细信息
来源: 评论
Disttack: Graph Adversarial Attacks Toward distributed GNN Training  30th
Disttack: Graph Adversarial Attacks Toward Distributed GNN T...
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30th European conference on parallel and distributed processing (Euro-Par)
作者: Zhang, Yuxiang Liu, Xin Wu, Meng Yan, Wei Yan, Mingyu Ye, Xiaochun Fan, Dongrui Chinese Acad Sci Inst Comp Technol SKLP Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Zhongguancun Lab Beijing Peoples R China
Graph Neural Networks (GNNs) have emerged as potent models for graph learning. Distributing the training process across multiple computing nodes is the most promising solution to address the challenges of ever-growing... 详细信息
来源: 评论
Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning  30th
Lightweight Byzantine-Robust and Privacy-Preserving Federate...
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30th European conference on parallel and distributed processing (Euro-Par)
作者: Lu, Zhi Lu, Songfeng Cui, Yongquan Wu, Junjun Nie, Hewang Xiao, Jue Yi, Zepu Huazhong Univ Sci & Technol Hubei Key Lab Distributed Syst Secur Hubei Engn Res Ctr Big Data Secur Sch Cyber Sci & Engn Wuhan 430074 Peoples R China Shenzhen Huazhong Univ Sci & Technol Res Inst Shenzhen 518063 Peoples R China
Federated learning (FL) is a distributed machine learning approach that reduces data transfer by aggregating gradients from multiple users. However, this process raises concerns about user privacy, leading to the emer... 详细信息
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Dissecting Convolutional Neural Networks for Runtime and Scalability Prediction  24
Dissecting Convolutional Neural Networks for Runtime and Sca...
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53rd International conference on parallel processing (ICPP)
作者: Beringer, Tim Mazaheri, Arya Stock, Jakob Wolf, Felix Tech Univ Darmstadt Darmstadt Hesse Germany
Given the computational complexity of deep neural networks (DNN), accurate prediction of their training and inference time using performance modeling is crucial for efficient infrastructure planning and DNN developmen... 详细信息
来源: 评论
CDCP: A Framework for Accelerating Dynamic Channel Pruning methods  29
CDCP: A Framework for Accelerating Dynamic Channel Pruning M...
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29th IEEE International conference on parallel and distributed Systems, ICPADS 2023
作者: Xiang, Zhaohong Luo, Yigui Xie, Yin She, Haihong Liang, Weiming Zhao, Laigang Tongji University School of Software Engineering Shanghai China Company Limited China
Dynamic channel pruning is a technique aimed at reducing the theoretical computational complexity and inference latency of convolutional neural networks. Dynamic channel pruning methods introduce complex additional mo... 详细信息
来源: 评论
A parallel ONLINE PERFORMANCE OPTIMIZATION METHOD FOR ATR ENGINES BASED ON ENSEMBLE NEURAL NETWORK  69
A PARALLEL ONLINE PERFORMANCE OPTIMIZATION METHOD FOR ATR EN...
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69th ASME Turbomachinery Technical conference and Exposition (ASME Turbo Expo) (GT)
作者: Cai, Weidong Zhao, Wei Liu, Binbin Yang, Xuesen Luo, Weiwei Zhao, Qingjun Chinese Acad Sci Inst Engn Thermophys Beijing Peoples R China Natl Key Lab Sci & Technol Adv Light Duty Gas Tur Beijing Peoples R China Univ Chinese Acad Sci Sch Aeronaut & Astronaut Beijing Peoples R China Beijing Key Lab Distributed Combined Cooling Heat Beijing Peoples R China
To address the issue of lengthy optimization processes for ATR engines using swarm intelligence optimization algorithms such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), a novel Ensemble Neural Net... 详细信息
来源: 评论
Ancient Chinese Character image Retrieval Based on Fusing Deep Features and Skeleton Features  29
Ancient Chinese Character Image Retrieval Based on Fusing De...
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29th IEEE International conference on parallel and distributed Systems, ICPADS 2023
作者: Wang, Xinhui Tian, Xuedong Hebei University School of Cyber Security and Computer Baoding071002 China Hebei University Institute of Intelligent Image and Document Information Processing Baoding071002 China
The complex glyph structures and diverse writing styles of ancient Chinese character images lead to suboptimal performance when existing image retrieval methods are directly applied to datasets of these images. Addres... 详细信息
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Multiobjective based strategy for Neural Architecture Search for segmentation Task
Multiobjective based strategy for Neural Architecture Search...
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1st International conference on Smart Energy Systems and Artificial Intelligence (SESAI)
作者: Sana, Abass Senhaji, Kaoutar Nakib, Amir Univ Paris Est Creteil UPEC Soc Etud Syst Informat Lab LISSI Vitry Sur Seine France Univ Paris Est Creteil UPEC Lab LISSI Vitry Sur Seine France
This research aims to determine an optimal neural network model for image segmentation, addressing a crucial aspect of computer vision and deep learning. The study aims to identify high-performance neural network arch... 详细信息
来源: 评论