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» Kernels for Multi--task Learning
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CVPR
2007
IEEE
16 years 2 months ago
Image Classification with Segmentation Graph Kernels
We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of subtree-patterns of the r...
Francis Bach, Zaïd Harchaoui
129
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PAMI
2012
13 years 3 months ago
Domain Transfer Multiple Kernel Learning
—Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...
Lixin Duan, Ivor W. Tsang, Dong Xu
98
Voted
ICML
2008
IEEE
16 years 1 months ago
Metric embedding for kernel classification rules
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G....
COLT
2003
Springer
15 years 5 months ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
76
Voted
COLT
2005
Springer
15 years 6 months ago
Approximating a Gram Matrix for Improved Kernel-Based Learning
Petros Drineas, Michael W. Mahoney