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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 3 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
148
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WSCG
2003
166views more  WSCG 2003»
15 years 5 months ago
View-Dependent Multiresolution Model For Foliage
Real-time rendering of vegetation is one of the most important challenges in outdoor scenes. This is due to the vast amount of polygons that are used to model vegetable species. M...
Inmaculada Remolar, Miguel Chover, José Rib...
CVPR
2000
IEEE
16 years 5 months ago
Variable Albedo Surface Reconstruction from Stereo and Shape from Shading
We presen t a multiview method for the computation of object shape and re ectance characteristics based on the integration of shape from shading (SFS) and stereo, for nonconstan t...
Dimitris Samaras, Dimitris N. Metaxas, Pascal Fua,...
ICCV
2005
IEEE
16 years 5 months ago
Building a Classification Cascade for Visual Identification from One Example
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
135
Voted
CLUSTER
2007
IEEE
15 years 10 months ago
Anomaly localization in large-scale clusters
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...
Ziming Zheng, Yawei Li, Zhiling Lan
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