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» A kernel path algorithm for support vector machines

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CVPR
2008
IEEE

411views Computer Vision» more CVPR 2008»

Classification using intersection kernel support vector machines is efficient

14 years 10 months ago

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Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...

Subhransu Maji, Alexander C. Berg, Jitendra Malik

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ICPR
2002
IEEE

126views computer vision» more ICPR 2002»

Tangent Distance Kernels for Support Vector Machines

14 years 1 months ago

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When dealing with pattern recognition problems one encounters different types of a-priori knowledge. It is important to incorporate such knowledge into the classiﬁcation method ...

Bernard Haasdonk, Daniel Keysers

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IJCNN
2006
IEEE

146views Neural Networks» more IJCNN 2006»

Learning the Kernel in Mahalanobis One-Class Support Vector Machines

14 years 2 months ago

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— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...

Ivor W. Tsang, James T. Kwok, Shutao Li

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CAS
2007

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Design of Decision Tree via Kernelized Hierarchical Clustering for Multiclass Support Vector Machines

13 years 8 months ago

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Zhao Lu, Feng Lin, Hao Ying

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