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ASPLOS
2010
ACM
14 years 2 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Transforming data to satisfy privacy constraints
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
Vijay S. Iyengar
CVPR
2008
IEEE
14 years 9 months ago
An experimental study of employing visual appearance as a phenotype
Visual and non-visual data are often related through complex, indirect links, thus making the prediction of one from the other difficult. Examples include the partiallyunderstood ...
Lior Wolf, Yoni Donner
ICCAD
1993
IEEE
139views Hardware» more  ICCAD 1993»
13 years 11 months ago
Hardware/software resolution of pipeline hazards in pipeline synthesis of instruction set processors
— One major problem in pipeline synthesis is the detection and resolution of pipeline hazards. In this paper we present a new solution to the problem in the domain of pipelined a...
Ing-Jer Huang, Alvin M. Despain