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RAID
2009
Springer
15 years 6 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
3DIM
2005
IEEE
15 years 5 months ago
Multi-Resolution Modeling and Locally Refined Collision Detection for Haptic Interaction
The computational cost of a collision detection (CD) algorithm on polygonal surfaces depends highly on the complexity of the models. A novel “locally refined” approach is intr...
Peiran Liu, Xiaojun Shen, Nicolas D. Georganas, Ge...
PERCOM
2007
ACM
15 years 11 months ago
Buddy tracking - efficient proximity detection among mobile friends
: Global positioning systems (GPS) and mobile phone networks are making it possible to track individual users with an increasing accuracy. It is natural to ask whether one can use ...
Arnon Amir, Alon Efrat, Jussi Myllymaki, Lingeshwa...
ASPLOS
2009
ACM
16 years 10 days ago
Anomaly-based bug prediction, isolation, and validation: an automated approach for software debugging
Software defects, commonly known as bugs, present a serious challenge for system reliability and dependability. Once a program failure is observed, the debugging activities to loc...
Martin Dimitrov, Huiyang Zhou
DSN
2008
IEEE
15 years 6 months ago
Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change
: Automated tools for understanding application behavior and its changes during the application life-cycle are essential for many performance analysis and debugging tasks. Applicat...
Ludmila Cherkasova, Kivanc M. Ozonat, Ningfang Mi,...