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» Identifying Objects Using Cluster and Concept Analysis
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SIGSOFT
2010
ACM
15 years 23 days ago
HI-C: diagnosing object churn in framework-based applications
In prior work we have developed an escape analysis to help developers identify sources of object churn (i.e., excessive use of temporaries) in large framework-based applications. ...
Marc Fisher II, Luke Marrs, Barbara G. Ryder
ICIP
2007
IEEE
15 years 9 months ago
Corner Detection of Contour Images using Spectral Clustering
Corner detection plays an important role in object recognition and motion analysis. In this paper, we propose a hierarchical corner detection framework based on spectral clusterin...
Xi Li, Weiming Hu, Zhongfei Zhang
WWW
2008
ACM
16 years 3 months ago
Efficiently finding web services using a clustering semantic approach
Efficiently finding Web services on the Web is a challenging issue in service-oriented computing. Currently, UDDI is a standard for publishing and discovery of Web services, and U...
Jiangang Ma, Yanchun Zhang, Jing He
135
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BMCBI
2006
126views more  BMCBI 2006»
15 years 2 months ago
Effect of data normalization on fuzzy clustering of DNA microarray data
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
Seo Young Kim, Jae Won Lee, Jong Sung Bae
BMCBI
2006
116views more  BMCBI 2006»
15 years 2 months ago
Cluster analysis for DNA methylation profiles having a detection threshold
Background: DNA methylation, a molecular feature used to investigate tumor heterogeneity, can be measured on many genomic regions using the MethyLight technology. Due to the combi...
Paul Marjoram, Jing Chang, Peter W. Laird, Kimberl...