Clustering Techniques for Out-of-Core Multi-resolution Modeling

Minneapolis, Minnesota October 23-October 28

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http://doi.ieeecomputersociety.org/10.1109/VIS.2005.15

16th IEEE Visualization 2005 (VIS 2005)

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	Emanuele Danovaro, Leila De Floriani, Enrico Puppo, Hanan Samet, "Clustering Techniques for Out-of-Core Multi-resolution Modeling," Visualization Conference, IEEE, pp. 113, 16th IEEE Visualization 2005 (VIS 2005), 2005.

	BibTex	x
	@article{ 10.1109/VIS.2005.15, author = {Emanuele Danovaro and Leila De Floriani and Enrico Puppo and Hanan Samet}, title = {Clustering Techniques for Out-of-Core Multi-resolution Modeling}, journal ={Visualization Conference, IEEE}, volume = {0}, year = {2005}, isbn = {0-7803-9462-3}, pages = {113}, doi = {http://doi.ieeecomputersociety.org/10.1109/VIS.2005.15}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Visualization Conference, IEEE TI - Clustering Techniques for Out-of-Core Multi-resolution Modeling SN - 0-7803-9462-3 SP EP A1 - Emanuele Danovaro, A1 - Leila De Floriani, A1 - Enrico Puppo, A1 - Hanan Samet, PY - 2005 KW - null VL - 0 JA - Visualization Conference, IEEE ER -

Emanuele Danovaro, University of Genova

Leila De Floriani, University of Genova

Enrico Puppo, University of Genova

Hanan Samet, University of Maryland at College Park

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.

Citation:

Emanuele Danovaro, Leila De Floriani, Enrico Puppo, Hanan Samet, "Clustering Techniques for Out-of-Core Multi-resolution Modeling," vis, pp.113, 16th IEEE Visualization 2005 (VIS 2005), 2005

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