1860 search results - page 148 / 372 » Boosting Methods for Regression |
118
Voted
ICASSP
2007
IEEE
15 years 8 months ago
2007
IEEE
Abstract— This work considers a combination classificationregression based framework with the proposal of using learned kernels in modified support vector regression to provide...
92
Voted
NIPS
2007
15 years 3 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
148
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CEC
2011
IEEE
14 years 2 months ago
2011
IEEE
—Despite the range of applications and successes of evolutionary algorithms, expensive fitness computations often form a critical performance bottleneck. A preferred method of r...
214
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Publication
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...
147
Voted
ICPR
2010
IEEE
15 years 11 days ago
2010
IEEE
Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...