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» Knowledge Engineering Technique for Cluster Development
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 1 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
NDSS
2009
IEEE
14 years 2 months ago
Scalable, Behavior-Based Malware Clustering
Anti-malware companies receive thousands of malware samples every day. To process this large quantity, a number of automated analysis tools were developed. These tools execute a m...
Ulrich Bayer, Paolo Milani Comparetti, Clemens Hla...
ICST
2008
IEEE
14 years 2 months ago
Empirical Software Change Impact Analysis using Singular Value Decomposition
Verification and validation techniques often generate various forms of software development artifacts. Change records created from verification and validation efforts show how fil...
Mark Sherriff, Laurie Williams
OOPSLA
2004
Springer
14 years 1 months ago
A language-independent approach to software maintenance using grammar adapters
A long-standing goal of software engineering is to construct software that is easily modified and extended. Recent advances in software design techniques, such as aspect-oriented ...
Suman Roychoudhury
IJCAI
2003
13 years 9 months ago
Automatically attaching semantic metadata to Web Services
Emerging Web standards promise a network of heterogeneous yet interoperable Web Services. Web Services would greatly simplify the development of many kinds of data integration and...
Andreas Heß, Nicholas Kushmerick