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» Identifying Objects Using Cluster and Concept Analysis
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SIGSOFT
2010
ACM
14 years 9 months 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 5 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
15 years 12 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
BMCBI
2006
126views more  BMCBI 2006»
14 years 11 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»
14 years 11 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...