166 search results - page 8 / 34 » Outlier Detection for High Dimensional Data |
81
Voted
FPGA
2006
ACM
15 years 1 months ago
2006
ACM
In this paper, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS...
CVPR
2008
IEEE
15 years 3 months ago
2008
IEEE
Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...
112
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SDM
2004
SIAM
14 years 10 months ago
2004
SIAM
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
184
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SDM
2012
SIAM
12 years 11 months ago
2012
SIAM
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
IV
2007
IEEE
15 years 3 months ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...