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ICIAR
2009
Springer
14 years 14 hour ago
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Jun Yin, Yan Meng
RAID
2009
Springer
14 years 1 months ago
Automatically Adapting a Trained Anomaly Detector to Software Patches
Abstract. In order to detect a compromise of a running process based on it deviating from its program’s normal system-call behavior, an anomaly detector must first be trained wi...
Peng Li, Debin Gao, Michael K. Reiter
ICAC
2007
IEEE
14 years 1 months ago
Autonomous Return on Investment Analysis of Additional Processing Resources
As the use of virtualization and partitioning grows, it becomes possible to deploy a multi-tier web-based application with a variable amount of computing power. This introduces th...
Jonathan Wildstrom, Peter Stone, Emmett Witchel
SIAMSC
2010
132views more  SIAMSC 2010»
13 years 5 months ago
New Algorithms for Optimal Online Checkpointing
Frequently, the computation of derivatives for optimizing time-dependent problems is based on the integration of the adjoint differential equation. For this purpose, the knowledge...
Philipp Stumm, Andrea Walther
EMSOFT
2010
Springer
13 years 5 months ago
Resource adaptations with servers for hard real-time systems
Many real-time applications are designed to work in different operating modes each characterized by different functionality and resource demands. With each mode change, resource d...
Nikolay Stoimenov, Lothar Thiele, Luca Santinelli,...