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» Differential testing: a new approach to change detection
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BMVC
2010
14 years 11 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
ANCS
2007
ACM
15 years 5 months ago
Optimization of pattern matching algorithm for memory based architecture
Due to the advantages of easy re-configurability and scalability, the memory-based string matching architecture is widely adopted by network intrusion detection systems (NIDS). In...
Cheng-Hung Lin, Yu-Tang Tai, Shih-Chieh Chang
104
Voted
ATC
2008
Springer
15 years 3 months ago
Concepts for Autonomous Control Flow Checking for Embedded CPUs
In this paper, we introduce new concepts and methods for checking the correctness of control flow instructions during the execution of programs in embedded CPUs. Detecting and avoi...
Daniel Ziener, Jürgen Teich
AI
2008
Springer
15 years 7 months ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...
CVPR
2005
IEEE
16 years 3 months ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur