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检索条件"任意字段=Parallel and Distributed Methods for Image Processing"
796 条 记 录,以下是421-430 订阅
排序:
Efficient Hardware Calculation of Running Statistics
Efficient Hardware Calculation of Running Statistics
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28th International Conference on image and Vision Computing New Zealand (IVCNZ)
作者: Bailey, Donald G. Klaiber, Michael J. Massey Univ Sch Engn & Adv Technol Palmerston North New Zealand Univ Stuttgart Inst Parallel & Distributed Syst Stuttgart Germany
Calculation of mean, variance and standard deviation are often required for segmentation or feature extraction. In image processing, often an integer approximation is adequate. Conventional methods require division an... 详细信息
来源: 评论
A multiway model for predicting earthquake ground motion
A multiway model for predicting earthquake ground motion
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14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed Computing, SNPD 2013
作者: Bai, Yang Tezcan, Jale Cheng, Qiang Cheng, Jie Southern Illinois University Carbondale IL 62901 United States University of Hawaii Hilo HI 96720 United States
This paper develops a novel supervised method for predicting earthquake ground motions in the wavelet domain. The training input is a set of seismological predictors related to seismic source, path and local site cond... 详细信息
来源: 评论
parallel implementation of a X-ray tomography reconstruction algorithm based on MPI and CUDA  13
Parallel implementation of a X-ray tomography reconstruction...
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20th European MPI Users' Group Meeting, EuroMPI 2013
作者: Blas, Javier Garcia Abella, Monica Liria, Ernesto Isaila, Florin Carretero, Jesus Desco, Manuel Computer Architecture and Communication Area University Carlos III Madrid Spain Bioengineering and Aerospace Engineering IiSGM CIBERSAM Madrid Spain
Most small-animal X-ray computed tomography (CT) scanners are based on cone-beam geometry with a flat-panel detector orbiting in a circular trajectory. image reconstruction in these systems is usually performed by app... 详细信息
来源: 评论
Visualizing parallelism in CS 2
Visualizing Parallelism in CS 2
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IEEE International Symposium on parallel and distributed processing Workshops and Phd Forum (IPDPSW)
作者: Sean Massung Cinda Heeren Computer Science Dept University of Illinois at Urbana-Champaign
This paper describes the incorporation of the IEEE-TCPP Curriculum Initiative into CS 2 at the University of Illinois at Urbana-Champaign. With control over only one course that requires a semi-rigid curriculum, we de... 详细信息
来源: 评论
distributed and parallel Subarray Beamforming for Near-Field 3D Sonar Imaging
Distributed and Parallel Subarray Beamforming for Near-Field...
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International Conference on Computer Science and Network Technology
作者: Yeqiang Han Jiabao Fu Fan Zhou Xiang Tian Yaowu Chen Inst. of Adv. Digital Technol. & Instrum. Zhejiang Univ. Hangzhou China
The computational load is prohibitive in 3D sonar systems for real-time image generation. In the literature, an efficient frequency beamforming method based on the distributed and parallel subarray (DPS) has been intr... 详细信息
来源: 评论
Using clusters in undergraduate research: distributed animation rendering, photo processing, and image transcoding
Using clusters in undergraduate research: Distributed animat...
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IEEE International Conference on Cluster Computing
作者: Peter Bui Travis Boettcher Nicholas Jaeger Jeffrey Westphal Department of Computer Science University of Wisconsin - Eau Claire Eau Claire Wisconsin
With distributed and parallel computing becoming increasingly important in both industrial and scientific endeavors, it is imperative that students are introduced to the challenges and methods of high performance and ... 详细信息
来源: 评论
A Laplace transform method for the image in-painting
A Laplace transform method for the image in-painting
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The 12th International Symposium on distributed Computing and Applications to Business,Engineering and Science(DCABES 2013)(第十二届分布式计算及其应用国际学术研讨会)
作者: N.Kokulan C.-H.Lai School of Computing and Mathematical Sciences University of Greenwich London UK
There are many image processing techniques based on partial differential equations that perform well,but they consume much computational ***'s vital that rapid and efficient ways of solving these equations are ***... 详细信息
来源: 评论
Multi-label Classification with Clustering for image and Text Categorization
Multi-label Classification with Clustering for Image and Tex...
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International Congress on image and Signal processing
作者: Gulisong Nasierding Atul Sajjanhar School of Computer Science and Technology Xinjiang Normal University Parallel and Distributed Computing Lab School of Information Technology Deakin University
This paper explores effective multi-label classification methods for multi-semantic image and text categorization. We perform an experimental study of clustering based multi-label classification (CBMLC) for the target... 详细信息
来源: 评论
Efficient hardware calculation of running statistics
Efficient hardware calculation of running statistics
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International Conference on image and Vision Computing New Zealand, IVCNZ
作者: Donald G. Bailey Michael J. Klaiber School of Engineering and Advanced Technology Massey University Palmerston North Institute for Parallel and Distributed Systems University of Stuttgart
Calculation of mean, variance and standard deviation are often required for segmentation or feature extraction. In image processing, often an integer approximation is adequate. Conventional methods require division an... 详细信息
来源: 评论
A parallel solution for high resolution histological image analysis
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COMPUTER methods AND PROGRAMS IN BIOMEDICINE 2012年 第1期108卷 388-401页
作者: Bueno, G. Gonzalez, R. Deniz, O. Garcia-Rojo, M. Gonzalez-Garcia, J. Fernandez-Carrobles, M. M. Vallez, N. Salido, J. Univ Castilla La Mancha VISILAB ETS Ingenieros Ind E-13071 Ciudad Real Spain Hosp Gen Univ Ciudad Real Dpt Anat Patol Ciudad Real Spain
This paper describes a general methodology for developing parallel image processing algorithms based on message passing for high resolution images (on the order of several Gigabytes). These algorithms have been applie... 详细信息
来源: 评论