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检索条件"任意字段=Conference on Parallel and Distributed Methods for Image Processing"
7806 条 记 录,以下是371-380 订阅
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EmbRace: Accelerating Sparse Communication for distributed Training of Deep Neural Networks  51
EmbRace: Accelerating Sparse Communication for Distributed T...
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51st International conference on parallel processing (ICPP)
作者: Li, Shengwei Lai, Zhiquan Li, Dongsheng Zhang, Yiming Ye, Xiangyu Duan, Yabo Univ Def Technol Natl Key Lab Parallel & Distributed Proc Comp Coll Changsha Peoples R China Xiamen Univ Xiamen Peoples R China
distributed data-parallel training has been widely adopted for deep neural network (DNN) models. Although current deep learning (DL) frameworks scale well for dense models like image classification models, we find tha... 详细信息
来源: 评论
Computing the Euclidean distance transform on a linear array of processors
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JOURNAL OF SUPERCOMPUTING 2003年 第2期25卷 177-185页
作者: Gavrilova, ML Alsuwaiyel, MH Univ Calgary Dept Comp Sci Calgary AB T2N 1N4 Canada KFUPM Dept Informat & Comp Sci Dhahran Saudi Arabia
Given an n x n binary image of white and black pixels, we present an optimal parallel algorithm for computing the distance transform and the nearest feature transform using the Euclidean metric. The algorithm employs ... 详细信息
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Domain Adaptive Semantic Segmentation via image Translation and Representation Alignment  19
Domain Adaptive Semantic Segmentation via Image Translation ...
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19th IEEE International Symposium on parallel and distributed processing with Applications (IEEE ISPA)
作者: Kang, Jingxuan Zang, Bin Cao, Weipeng Univ Liverpool Sch Comp Sci Liverpool Merseyside England Beijing Inst Technol Sch Comp Sci & Technol Beijing Peoples R China Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Peoples R China
Domain Adaptation for semantic segmentation is of vital significance since it enables effective knowledge transfer from a labeled source domain (i.e., synthetic data) to an unlabeled target domain (i.e., real images),... 详细信息
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Towards a Hierarchical Exascale Framework for Iterative parallel Data Analysis Algorithms  32
Towards a Hierarchical Exascale Framework for Iterative Para...
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32nd Euromicro International conference on parallel, distributed and Network-Based processing (PDP)
作者: Cesario, Eugenio Lindia, Paolo Univ Calabria Arcavacata Di Rende CS Italy
Several parallel and distributed data mining algorithms have been proposed in literature to perform large scale data analysis, overcoming the bottleneck of traditional methods on a single machine. However, although th... 详细信息
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parallel Implementation of Segmentation Algorithms on Graphics processing Unit
Parallel Implementation of Segmentation Algorithms on Graphi...
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21st Signal processing and Communications Applications conference (SIU)
作者: Yenialp, Erdal Kalkan, Habil Suleyman Demirel Univ Bilgisayar Muhendisligi Bolumu Vis Image Proc & Pattern Recognit Lab VIPLAB TR-32200 Isparta Turkey
Segmentation algorithms are widely used in image processing. These methods have different complexity values and the choice of reasonable methods decreases on large images. Especially on the medical images with large s... 详细信息
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Experiments with parallelizing a tribology application
Experiments with parallelizing a tribology application
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31st International conference on parallel processing (ICPP 2002)
作者: Chaudhary, V Hase, WL Jiang, H Sun, L Thakert, D Wayne State Univ Inst Comp Sci Detroit MI 48202 USA
Different parallelization methods vary in their system requirements, programming styles, efficiency of exploring parallelism, and the application characteristics they can handle. Different applications can exhibit tot... 详细信息
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A Raster Data Framework Based on distributed Heterogeneous Cluster
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JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 2019年 第4期47卷 715-723页
作者: Bhushan, R. Phani Somayajulu, D. V. L. N. Venkatraman, S. Subramanyam, R. B. V. ADRIN Dept Space Hyderabad Telangana India NIT Dept Comp Sci & Engn Warangal Andhra Pradesh India
Advancements in satellite imaging and sensor technologies result in capturing of large amount of spatial data. Many parallel processing techniques based on data or control parallelism have been attempted during the pa... 详细信息
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Trellis-SDP: A simple data-parallel programming interface
Trellis-SDP: A simple data-parallel programming interface
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33rd International conference on parallel processing
作者: Ding, M Lu, P Univ Alberta Dept Comp Sci Edmonton AB T6G 2E8 Canada
Some datasets and computing environments are inherently distributed. For example, image data may be gathered and stored at different locations. Although data parallelism is a well-known computational model, there are ... 详细信息
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Exploiting Julia for parallel RBF-Based 3D Surface Reconstruction: A First Experience  32
Exploiting Julia for Parallel RBF-Based 3D Surface Reconstru...
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32nd Euromicro International conference on parallel, distributed and Network-Based processing (PDP)
作者: De Luca, Pasquale Galletti, Ardelio Marcellino, Livia Pianese, Mario Parthenope Univ Naples Sci & Technol Dept Naples Italy
The 3D surface reconstruction is critical for various applications, demanding efficient computational approaches. Traditional Radial Basis Functions (RBFs) methods are limited by increasing data points, leading to slo... 详细信息
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INFORMATION-ENTROPY BASED LOAD BALANCING IN parallel ADAPTIVE VOLUME RENDERING
INFORMATION-ENTROPY BASED LOAD BALANCING IN PARALLEL ADAPTIV...
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International conference on Interfaces and Human Computer Interaction / International conference on Game and Entertainment Technologies / International conference on Computer Graphics, Visualization, Computer Vision and image processing
作者: Wang, Huawei Ai, Zhiwei Cao, Yi Inst Appl Phys & Computat Math 2 Fenghao East Rd Beijing 100094 Peoples R China
Aiming at TB-scale time-varying scientific datasets, this paper presents a novel static load balancing scheme based on information entropy to enhance the efficiency of the parallel adaptive volume rendering algorithm.... 详细信息
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