1454 search results - page 12 / 291 » On High Dimensional Skylines |
ECML
2006
Springer
14 years 1 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
ICDE
2009
IEEE
14 years 4 months ago
2009
IEEE
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
JMLR
2010
13 years 4 months ago
2010
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
SIGMOD
2001
ACM
14 years 10 months ago
2001
ACM
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
CIKM
2000
Springer
14 years 2 months ago
2000
Springer
With the proliferation of multimedia data, there is increasing need to support the indexing and searching of high dimensional data. Recently, a vector approximation based techniqu...