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JMLR
2011
110views more  JMLR 2011»
15 years 1 months ago
Training SVMs Without Offset
We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stoppi...
Ingo Steinwart, Don R. Hush, Clint Scovel
JMLR
2010
187views more  JMLR 2010»
15 years 1 months ago
SFO: A Toolbox for Submodular Function Optimization
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
Andreas Krause
FGR
2011
IEEE
198views Biometrics» more  FGR 2011»
14 years 10 months ago
The optimal camera arrangement by a performance model for gait recognition
— Recently, many gait recognition algorithms are proposed, and the optimal camera arrangement is necessary to maximize the performance. In this paper, we propose the optimal came...
Naoki Akae, Yasushi Makihara, Yasushi Yagi
CVPR
2012
IEEE
13 years 9 months ago
Linear discriminative image processing operator analysis
In this paper, we propose a method to select a discriminative set of image processing operations for Linear Discriminant Analysis (LDA) as an application of the use of generating ...
Toru Tamaki, Bingzhi Yuan, Kengo Harada, Bisser Ra...
PRIS
2004
15 years 8 months ago
A Pitfall in Determining the Optimal Feature Subset Size
Abstract. Feature selection researchers often encounter a peaking phenomenon: a feature subset can be found that is smaller but still enables building a more accurate classifier th...
Juha Reunanen