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» Sampling Techniques for Large, Dynamic Graphs
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NIPS
2003
14 years 11 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin
CORR
2010
Springer
156views Education» more  CORR 2010»
14 years 9 months ago
On the bias of BFS
Abstract--Breadth First Search (BFS) and other graph traversal techniques are widely used for measuring large unknown graphs, such as online social networks. It has been empiricall...
Maciej Kurant, Athina Markopoulou, Patrick Thiran
95
Voted
CSMR
2006
IEEE
15 years 3 months ago
Dynamic Object Process Graphs
A trace is a record of the execution of a computer program, showing the sequence of operations executed. A trace may be obtained through static or dynamic analysis. An object trac...
Jochen Quante, Rainer Koschke
113
Voted
CVPR
2011
IEEE
14 years 5 months ago
Tracking 3D Human Pose with Large Root Node Uncertainty
Representing articulated objects as a graphical model has gained much popularity in recent years, often the root node of the graph describes the global position and orientation of...
Ben Daubney, Xianghua Xie
MICRO
2008
IEEE
103views Hardware» more  MICRO 2008»
15 years 3 months ago
Testudo: Heavyweight security analysis via statistical sampling
Heavyweight security analysis systems, such as taint analysis and dynamic type checking, are powerful technologies used to detect security vulnerabilities and software bugs. Tradi...
Joseph L. Greathouse, Ilya Wagner, David A. Ramos,...