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» Bottleneck Detection Using Statistical Intervention Analysis
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ASPDAC
2006
ACM
230views Hardware» more  ASPDAC 2006»
14 years 4 months ago
Statistical Bellman-Ford algorithm with an application to retiming
— Process variations in digital circuits make sequential circuit timing validation an extremely challenging task. In this paper, a Statistical Bellman-Ford (SBF) algorithm is pro...
Mongkol Ekpanyapong, Thaisiri Watewai, Sung Kyu Li...
NSDI
2004
13 years 11 months ago
Path-Based Failure and Evolution Management
We present a new approach to managing failures and evolution in large, complex distributed systems using runtime paths. We use the paths that requests follow as e through the syst...
Mike Y. Chen, Anthony Accardi, Emre Kiciman, David...
CVPR
2012
IEEE
12 years 3 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
14 years 4 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
13 years 11 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash