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» Detecting Execution Failures Using Learned Action Models
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RAID
2007
Springer
14 years 2 months ago
Exploiting Execution Context for the Detection of Anomalous System Calls
Attacks against privileged applications can be detected by analyzing the stream of system calls issued during process execution. In the last few years, several approaches have been...
Darren Mutz, William K. Robertson, Giovanni Vigna,...
CVPR
2010
IEEE
14 years 4 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
AIPS
2007
13 years 10 months ago
Monitoring Plan Optimality During Execution
A great deal of research has addressed the problem of generating optimal plans, but these plans are of limited use in circumstances where noisy sensors, unanticipated exogenous ac...
Christian Fritz, Sheila A. McIlraith
ICPR
2010
IEEE
13 years 11 months ago
Malware Detection on Mobile Devices Using Distributed Machine Learning
This paper presents a distributed Support Vector Machine (SVM) algorithm in order to detect malicious software (malware) on a network of mobile devices. The light-weight system mo...
Ashkan Sharifi Shamili, Christian Bauckhage, Tansu...
AIPS
2008
13 years 10 months ago
A Temporal Logic-Based Planning and Execution Monitoring System
As no plan can cover all possible contingencies, the ability to detect failures during plan execution is crucial to the robustness of any autonomous system operating in a dynamic ...
Jonas Kvarnström, Fredrik Heintz, Patrick Doh...