Multiple Kernel Learning Using Regularized Ho-Kashyap Classifier in Empirical Kernel Mapping Space

2009 ◽  
Author(s):  
Bo Yang ◽  
Yingyong Bu
Keyword(s):  
Multiple Kernel Learning ◽  
Kernel Learning ◽  
Mapping Space ◽  
Multiple Kernel ◽  
Empirical Kernel Mapping ◽  
Kernel Mapping

Multiple Kernel Feature Fusion Using Kernel Fisher Method

2013 ◽  
Vol 333-335 ◽  
pp. 1406-1409
Author(s):  
Bo Yang
Keyword(s):  
Feature Fusion ◽  
Kernel Method ◽  
Kernel Space ◽  
Mapping Space ◽  
Weighted Fusion ◽  
Multiple Kernel ◽  
Fisher Method ◽  
Empirical Kernel Mapping ◽  
Kernel Classification ◽  
Kernel Mapping

Different from the existing multiple kernel methods which mainly work in implicit kernel space, we propose a novel multiple kernel method in empirical kernel mapping space. In empirical kernel mapping space, the combination of kernels can be treated as the weighted fusion of empirical kernel mapping samples. Based this fact, we developed a multiple kernel Fisher method to realize multiple kernel classification in empirical kernel mapping space. The experiments here illustrate that the proposed multiple kernel fisher method is feasible and effective.

Robust Subspace Clustering Based on Automatic Weighted Multiple Kernel Learning

2021 ◽  
Author(s):  
Guo ◽  
Xiaoqian Zhang ◽  
Zhigui Liu ◽  
Xuqian Xue ◽  
Qian Wang ◽  
...  
Keyword(s):  
Multiple Kernel Learning ◽  
Subspace Clustering ◽  
Kernel Learning ◽  
Multiple Kernel

scholarly journals Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data

2014 ◽  
Author(s):  
Andrew D. O'Harney ◽  
Andre Marquand ◽  
Katya Rubia ◽  
Kaylita Chantiluke ◽  
Anna Smith ◽  
...  
Keyword(s):  
Multiple Kernel Learning ◽  
Kernel Learning ◽  
Multiple Kernel ◽  
Neuroimaging Data ◽  
Multiple Class
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