@conference {13277,
	title = {Clustering Techniques for Out-of-Core Multi-resolution Modeling},
	booktitle = {Visualization Conference, IEEE},
	year = {2005},
	month = {2005///},
	pages = {113 - 113},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Los Alamitos, CA, USA},
	abstract = {Thanks to improvements in simulation tools, high resolution scanning facilities and multidimensional medical imaging, huge datasets are commonly available. Multi-resolution models manage the complexity of such data sets, by varying resolution and focusing detail in specific areas of interests. Since many currently available data sets cannot fit in main memory, the need arises to design data structures, construction and query algorithms for multi-resolution models which work in secondary memory.},
	isbn = {0-7803-9462-3},
	doi = {http://doi.ieeecomputersociety.org/10.1109/VIS.2005.15},
	author = {Danovaro,Emanuele and De Floriani, Leila and Puppo,Enrico and Samet, Hanan}
}
