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BMVC
2002
15 years 3 months ago
Randomized RANSAC with T(d, d) test
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
Jiri Matas, Ondrej Chum
129
Voted
WSC
2008
15 years 3 months ago
Skart: A skewness- and autoregression-adjusted batch-means procedure for simulation analysis
We discuss Skart, an automated batch-means procedure for constructing a skewness- and autoregression-adjusted confidence interval for the steady-state mean of a simulation output ...
Ali Tafazzoli, James R. Wilson, Emily K. Lada, Nat...
83
Voted
ATAL
2008
Springer
15 years 2 months ago
Nonuniform bribery
We study the concept of bribery in the situation where voters are willing to change their votes as we ask them, but where their prices depend on the nature of the change we reques...
Piotr Faliszewski
CVPR
2005
IEEE
15 years 2 months ago
Dense Photometric Stereo Using Tensorial Belief Propagation
We address the normal reconstruction problem by photometric stereo using a uniform and dense set of photometric images captured at fixed viewpoint. Our method is robust to spurio...
Kam-Lun Tang, Chi-Keung Tang, Tien-Tsin Wong
104
Voted
AAAI
2010
15 years 2 months ago
Cost-Sensitive Semi-Supervised Support Vector Machine
In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequa...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou