299 search results - page 20 / 60 » Multiple kernel learning and feature space denoising |
144
Voted
ALT
2003
Springer
16 years 12 days ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
107
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
148
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TIP
2011
14 years 10 months ago
2011
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...
130
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AAAI
2007
15 years 5 months ago
2007
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
144
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KDD
2007
ACM
16 years 3 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...