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检索条件"任意字段=IEEE Symposium on Large Data Analysis and Visualization"
15522 条 记 录,以下是391-400 订阅
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Visual Interactive Map Matching
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ieee TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2018年 第6期24卷 1881-1892页
作者: Krueger, Robert Simeonov, Georgi Beck, Fabian Ertl, Thomas Univ Stuttgart Inst Visualizat & Interact Syst D-70174 Stuttgart Germany Univ Duisburg Essen Paluno D-47057 Duisburg Germany
Map matching is the process of assigning observed geographic positions of vehicles and their trajectories to the actual road links in a road network. In this paper, we present Visual Interactive Map Matching, a visual... 详细信息
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Spatial Partitioning Strategies for Memory-Efficient Ray Tracing of Particles  10
Spatial Partitioning Strategies for Memory-Efficient Ray Tra...
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10th ieee symposium on large data analysis and visualization (LDAV)
作者: Gralka, Patrick Wald, Ingo Geringer, Sergej Reina, Guido Ertl, Thomas Univ Stuttgart Visualizat Res Ctr Stuttgart Germany NVIDIA Corp Santa Clara CA USA Univ Stuttgart Inst Visualizat & Interact Syst Stuttgart Germany
3D particle data is relevant for a wide range of scientific domains, from molecular dynamics to astrophysics. Simulations in these domains can produce datasets containing millions or billions of particles and renderin... 详细信息
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visualization and pattern identification in large scale time series data
Visualization and pattern identification in large scale time...
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1st ieee symposium on large-Scale data analysis and visualization 2011, LDAV 2011
作者: Holtz, Steve Valle, Guillermo Howard, Jessica Morreale, Patricia Computer Science Kean University United States NJCSTM Kean University United States
visualization of massively large datasets presents two significant problems. First, the dataset must be prepared for visualization, and traditional dataset manipulation methods fail due to lack of temporary storage or... 详细信息
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Task-based Augmented Merge Trees with Fibonacci Heaps  7
Task-based Augmented Merge Trees with Fibonacci Heaps
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ieee 7th symposium on large data analysis and visualization (LDAV)
作者: Gueunet, Charles Fortin, Pierre Jomier, Julien Tierny, Julien UPMC Univ Paris 06 Sorbonne Univ CNRS Kitware SASLIP6UMR 7606 Paris France UPMC Univ Paris 06 Sorbonne Univ CNRS LIP6UMR 7606 Paris France Kitware SAS Villeurbanne France
This paper presents a new algorithm for the fast, shared memory multi-core computation of augmented merge trees on triangulations. In contrast to most existing parallel algorithms, our technique computes augmented tre... 详细信息
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Personal Augmented Reality for Information visualization on large Interactive Displays
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ieee TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2021年 第2期27卷 1182-1192页
作者: Reipschlager, Patrick Flemisch, Tamara Dachselt, Raimund Tech Univ Dresden Interact Media Lab Dresden Germany Tech Univ Dresden Ctr Tactile Internet CeTi Dresden Germany Tech Univ Dresden Cluster Excellence Phys Lile Dresden Germany
In this work we propose the combination of large interactive displays with personal head-mounted Augmented Reality (AR) for information visualization to facilitate data exploration and analysis. Even though large disp... 详细信息
来源: 评论
Distribution-based Particle data Reduction for In-situ analysis and visualization of large-scale N-body Cosmological Simulations  13
Distribution-based Particle Data Reduction for In-situ Analy...
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ieee Pacific visualization symposium (PacificVis)
作者: Li, Guan Xu, Jiayi Zhang, Tianchi Shan, Guihua Shen, Han-Wei Wang, Ko-Chih Liao, Shihong Lu, Zhonghua Chinese Acad Sci Comp Network Informat Ctr Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Ohio State Univ Columbus OH 43210 USA Chinese Acad Sci Natl Astron Observ Beijing Peoples R China Natl Taiwan Normal Univ Taipei Taiwan
Cosmological N-body simulation is an important tool for scientists to study the evolution of the universe. With the increase of computing power, billions of particles of high space-time fidelity can be simulated by su... 详细信息
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Cinema Darkroom: A Deferred Rendering Framework for large-Scale datasets  10
Cinema Darkroom: A Deferred Rendering Framework for Large-Sc...
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10th ieee symposium on large data analysis and visualization (LDAV)
作者: Lukasczyk, Jonas Garth, Christoph Larsen, Matthew Engelke, Wito Hotz, Ingrid Rogers, David Ahrens, James Maciejewski, Ross Arizona State Univ Tempe AZ 85287 USA TU Kaiserslautern Kaiserslautern Germany Lawrence Livermore Natl Lab Livermore CA 94550 USA Linkoping Univ Linkoping Sweden Los Alamos Natl Lab Los Alamos NM USA
This paper presents a framework that fully leverages the advantages of a deferred rendering approach for the interactive visualization of large-scale datasets. Geometry buffers (G-Buffers) are generated and stored in ... 详细信息
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Filtering edge for exploration of large graphs
Filtering edge for exploration of large graphs
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2013 3rd ieee symposium on large-Scale data analysis and visualization, LDAV 2013
作者: Huang, Xiaodi School of Computing and Mathematics Charles Sturt University Albury NSW 2640 Australia
Visual clutter in the layout of a large graph is mainly caused by the overwhelming number of edges. Filtering is one of ways to reduce the clutter. We regard a filtered graph as the compressed one of an original graph... 详细信息
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Towards visualization Scalability through Time Intervals and Hierarchical Organization of Monitoring data  09
Towards Visualization Scalability through Time Intervals and...
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9th ieee/ACM International symposium on Cluster Computing and the Grid
作者: Schnorr, Lucas Mello Huard, Guillaume Alexandre Navaux, Philippe Olivier Univ Fed Rio Grande do Sul Inst Informat BR-91501970 Porto Alegre RS Brazil Univ Grenoble 1 LIG Lab CNRS INRIA Moais res Team F-38000 Grenoble France
Highly distributed systems such as Grids are used today to the execution of large-scale parallel applications. The behavior analysis of these applications is not trivial. The complexity appears because of the event co... 详细信息
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High-Quality and Low-Memory-Footprint Progressive Decoding of large-Scale Particle data  11
High-Quality and Low-Memory-Footprint Progressive Decoding o...
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ieee 11th symposium on large data analysis and visualization (LDAV)
作者: Hoang, Duong Bhatia, Harsh Lindstrom, Peter Pascucci, Valerio Univ Utah SCI Inst Salt Lake City UT 84112 USA Lawrence Livermore Natl Lab CASC Livermore CA 94550 USA
Particle representations are used often in large-scale simulations and observations, frequently creating datasets containing several millions of particles or more. Due to their sheer size, such datasets are difficult ... 详细信息
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