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101
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PRIB
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
129
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ICDE
2012
IEEE
13 years 2 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
BMCBI
2004
14 years 11 months ago
2004
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
108
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TVCG
2008
14 years 11 months ago
2008
Abstract-- Visual data comprise of multi-scale and inhomogeneous signals. In this paper, we exploit these characteristics and develop a compact data representation technique based ...
101
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IEEEMSP
2002
IEEE
15 years 4 months ago
2002
IEEE
Abstract—Transmission of digital contents in unavoidable noiseprone environments demands sophisticated error detection and concealment techniques to restore the perceptual qualit...