Data representation and exploration with geometric wavelets
Publication
, Journal Article
Monson, EE; Chen, G; Brady, R; Maggioni, M
Published in: VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings
December 1, 2010
Geometric Wavelets is a new multi-scale data representation technique which is useful for a variety of applications such as data compression, interpretation and anomaly detection. We have developed an interactive visualization with multiple linked views to help users quickly explore data sets and understand this novel construction. Currently the interface is being used by applied mathematicians to view results and gain new insights, speeding methods development. ©2010 IEEE.
Duke Scholars
Published In
VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings
DOI
Publication Date
December 1, 2010
Start / End Page
243 / 244
Citation
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Monson, E. E., Chen, G., Brady, R., & Maggioni, M. (2010). Data representation and exploration with geometric wavelets. VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings, 243–244. https://doi.org/10.1109/VAST.2010.5653822
Monson, E. E., G. Chen, R. Brady, and M. Maggioni. “Data representation and exploration with geometric wavelets.” VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings, December 1, 2010, 243–44. https://doi.org/10.1109/VAST.2010.5653822.
Monson EE, Chen G, Brady R, Maggioni M. Data representation and exploration with geometric wavelets. VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings. 2010 Dec 1;243–4.
Monson, E. E., et al. “Data representation and exploration with geometric wavelets.” VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings, Dec. 2010, pp. 243–44. Scopus, doi:10.1109/VAST.2010.5653822.
Monson EE, Chen G, Brady R, Maggioni M. Data representation and exploration with geometric wavelets. VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings. 2010 Dec 1;243–244.
Published In
VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings
DOI
Publication Date
December 1, 2010
Start / End Page
243 / 244