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13th LDAV 2023: Melbourne, Australia

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13th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2023, Melbourne, Australia, October 23, 2023. IEEE 2023, ISBN 979-8-3503-3018-2
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Peer-Timo Bremer, Kristi Potter, Steffen Frey, Silvio Rizzi, Gunther H. Weber, Soumya Dutta, Jonas Lukasczyk, Nicole Marsaglia:
Preface IEEE LDAV 2023. vi
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Will Usher, Landon Dyken, Sidharth Kumar:
Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes. 1-11
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Ayan Biswas, Arindam Bhattacharya, Yi-Tang Chen, Han-Wei Shen:
Sub-Linear Time Sampling Approach for Large-Scale Data Visualization Using Reinforcement Learning. 12-16
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Ayman Z. Yousef, Erik W. Draeger, Amanda Randles:
Low-Cost Post Hoc Reconstruction of HPC Simulations at Full Resolution. 17-21
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Manish Mathai, Matthew Larsen, Hank Childs:
A Distributed-Memory Parallel Approach for Volume Rendering with Shadows. 22-31
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Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan:
Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. 32-41

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