Title :
Data representation and exploration with Geometric Wavelets
Author :
Monson, Eric E. ; Chen, Guangliang ; Brady, Rachael ; Maggioni, Mauro
Abstract :
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.
Keywords :
computational geometry; data visualisation; anomaly detection; data compression; data representation; geometric wavelets; interactive visualization; speeding methods development; Data visualization; Dictionaries; Graphical user interfaces; Manifolds; Pixel; Principal component analysis; Wavelet analysis; H.5.2 [Information Interfaces and Presentation]: User Interfaces-Graphical user interfaces (GUI); I.5.1 [Pattern Recognition]: Models-Geometric;
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4244-9488-0
Electronic_ISBN :
978-1-4244-9487-3
DOI :
10.1109/VAST.2010.5653822
