@article{4f745296df2d4b13ab9403fb9e994b7c,
title = "Visualization corner: Robust topology-based multiscale analysis of scientific data",
abstract = "During multiscale analysis, hierarchical function decompositions and error-driven simplifications can't guarantee precise control of topological features. Topology-based multiscale analysis has emerged as an alternative to help researchers understand complex scientific data.",
author = "Attila Gyulassy and Nonato, {Luis Gustavo} and Bremer, {Peer Timo} and Claudio Silva and Valerio Pascucci",
note = "Funding Information: US Army Research Office under grant W911NF0810517; and by FapespBrazil under grant 2008/033496. Funding Information: This work was supported in part by the US National Science Foundation, under grants CCF0702817, IIS-0905385, IIS0844546, ATM0835821, CNS0751152, OCE0424602, CNS-0514485, IIS0513692, CNS0524096, CCF0401498, OISE0405402, CCF-0528201, CNS0551724; by the VACET project under SciDAC contract DEFC0206ER25781; the Department of Energy, IBM Faculty Awards, and the",
year = "2009",
month = sep,
doi = "10.1109/MCSE.2009.152",
language = "English (US)",
volume = "11",
pages = "88--94",
journal = "Computing in Science and Engineering",
issn = "1521-9615",
publisher = "IEEE Computer Society",
number = "5",
}