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KDD
2005
ACM
14 years 1 months ago
2005
ACM
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables ...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...