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» Cost-conscious multiple kernel learning

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CORR
2007
Springer

164views Education» more CORR 2007»

Consistency of the group Lasso and multiple kernel learning

14 years 11 months ago

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We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...

Francis Bach

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120

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DAGM
2008
Springer

250views Image Processing» more DAGM 2008»

A Multiple Kernel Learning Approach to Joint Multi-class Object Detection

15 years 1 months ago

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Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...

Christoph H. Lampert, Matthew B. Blaschko

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CVPR
2009
IEEE

352views Computer Vision» more CVPR 2009»

Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers

16 years 6 months ago

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Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...

Peter V. Gehler, Sebastian Nowozin

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ICPR
2010
IEEE

240views Computer Vision» more ICPR 2010»

AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach

15 years 3 months ago

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Ziming Zhang, Ze-Nian Li, Mark S. Drew

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