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» Bisubmodular Function Minimization
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ICML
2006
IEEE
16 years 4 months ago
A continuation method for semi-supervised SVMs
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
Olivier Chapelle, Mingmin Chi, Alexander Zien
119
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ICPR
2010
IEEE
15 years 10 months ago
Integrating a Discrete Motion Model into GMM Based Background Subtraction
GMM based algorithms have become the de facto standard for background subtraction in video sequences, mainly because of their ability to track multiple background distributions, w...
Christian Wolf, Jolion Jolion
STACS
2009
Springer
15 years 10 months ago
Nonclairvoyant Speed Scaling for Flow and Energy
We study online nonclairvoyant speed scaling to minimize total flow time plus energy. We first consider the traditional model where the power function is P(s) = sα . We give a ...
Ho-Leung Chan, Jeff Edmonds, Tak Wah Lam, Lap-Kei ...
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
15 years 10 months ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
125
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SCALESPACE
2009
Springer
15 years 10 months ago
On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems
We propose a regularization method for solving ill-posed problems, under the assumption that the solutions are piecewise constant functions with unknown level sets and unknown leve...
Adriano DeCezaro, Antonio Leitão, Xue-Cheng...