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» Improving the R*-tree with outlier handling techniques
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GIS
2005
ACM
14 years 5 months ago
Improving the R*-tree with outlier handling techniques
The R*-tree, as a state-of-the-art spatial index, has already found its way into commercial systems like Oracle. In this paper, we aim at improving query performance of the R*tree...
Tian Xia, Donghui Zhang
ESEM
2009
ACM
13 years 11 months ago
Scope error detection and handling concerning software estimation models
Over the last 25+ years, the software community has been searching for the best models for estimating variables of interest (e.g., cost, defects, and fault proneness). However, li...
Salvatore Alessandro Sarcià, Victor R. Basi...
IMAGING
2003
13 years 5 months ago
Using Colour to Model Outliers
Computer vision applications are able to model and reconstruct three dimensional scenes from several pictures. In this work, we are interested in the group of algorithm that regis...
David Hasler, Sabine Süsstrunk
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 4 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu