166 search results - page 12 / 34 » Outlier Detection for High Dimensional Data |
KDD
2002
ACM
15 years 9 months ago
2002
ACM
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
75
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ISBI
2007
IEEE
15 years 3 months ago
2007
IEEE
This paper focuses on the detection and segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The proposed method performs healthy tissue segmentation usin...
105
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SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
ICMCS
2006
IEEE
15 years 3 months ago
2006
IEEE
Content-based Image retrieval has become an important part of information retrieval technology. Images can be viewed as high dimensional data and are usually represented by their ...
ACMACE
2008
ACM
14 years 11 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...