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» Predictive Modeling with Heterogeneous Sources
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DASC
2006
IEEE
14 years 2 months ago
Assessing Vulnerabilities in Apache and IIS HTTP Servers
We examine the feasibility of quantitatively characterizing the vulnerabilities in the two major HTTP servers. In particular, we investigate the applicability of quantitative empi...
Sung-Whan Woo, Omar H. Alhazmi, Yashwant K. Malaiy...
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
13 years 10 months ago
Multi-way Clustering on Relation Graphs
A number of real-world domains such as social networks and e-commerce involve heterogeneous data that describes relations between multiple classes of entities. Understanding the n...
Arindam Banerjee, Sugato Basu, Srujana Merugu
MSR
2010
ACM
13 years 10 months ago
Identifying security bug reports via text mining: An industrial case study
-- A bug-tracking system such as Bugzilla contains bug reports (BRs) collected from various sources such as development teams, testing teams, and end users. When bug reporters subm...
Michael Gegick, Pete Rotella, Tao Xie
ICCV
2001
IEEE
14 years 10 months ago
Statistical Context Priming for Object Detection
There is general consensus that context can be a rich source of information about an object's identity, location and scale. However, the issue of how to formalize contextual ...
Antonio B. Torralba, Pawan Sinha
ICASSP
2008
IEEE
14 years 3 months ago
Exploiting temporal change of pitch in formant estimation
This paper considers the problem of obtaining an accurate spectral representation of speech formant structure when the voicing source exhibits a high fundamental frequency. Our wo...
Tao T. Wang, Thomas F. Quatieri