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SOCO
2008
Springer
15 years 6 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi
QRE
2010
129views more  QRE 2010»
15 years 4 months ago
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Rajesh Ganesan, Poornima Balakrishna, Lance Sherry
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 10 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
EUROPAR
2004
Springer
15 years 11 months ago
A Data Structure Oriented Monitoring Environment for Fortran OpenMP Programs
This paper describes a monitoring environment that enables the analysis of memory access behavior of applications in a selective way with a potentially very high degree of detail. ...
Edmond Kereku, Tianchao Li, Michael Gerndt, Josef ...
MP
2002
110views more  MP 2002»
15 years 6 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski