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» Effectiveness Improvement of ECR Tests
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ECCV
2008
Springer
15 years 8 months ago
Toward Global Minimum through Combined Local Minima
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
85
Voted
PLDI
2003
ACM
15 years 2 months ago
A compiler framework for speculative analysis and optimizations
Speculative execution, such as control speculation and data speculation, is an effective way to improve program performance. Using edge/path profile information or simple heuristi...
Jin Lin, Tong Chen, Wei-Chung Hsu, Pen-Chung Yew, ...
88
Voted
SP
2010
IEEE
220views Security Privacy» more  SP 2010»
15 years 1 months ago
TaintScope: A Checksum-Aware Directed Fuzzing Tool for Automatic Software Vulnerability Detection
—Fuzz testing has proven successful in finding security vulnerabilities in large programs. However, traditional fuzz testing tools have a well-known common drawback: they are in...
Tielei Wang, Tao Wei, Guofei Gu, Wei Zou
81
Voted
ICCV
2009
IEEE
16 years 2 months ago
Color Constancy using 3D Scene Geometry
The aim of color constancy is to remove the effect of the color of the light source. As color constancy is inherently an ill-posed problem, most of the existing color constancy ...
Rui Lu, Arjan Gijsenij, Theo Gevers
90
Voted
ICCV
2007
IEEE
15 years 11 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...