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» AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach
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ICPR
2010
IEEE
13 years 8 months ago
AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach
Ziming Zhang, Ze-Nian Li, Mark S. Drew
MMM
2009
Springer
186views Multimedia» more  MMM 2009»
13 years 11 months ago
A New Multiple Kernel Approach for Visual Concept Learning
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
Jingjing Yang, Yuanning Li, YongHong Tian, Lingyu ...
AAAI
2012
11 years 7 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
MCS
2010
Springer
13 years 11 months ago
Combining Multiple Kernels by Augmenting the Kernel Matrix
Abstract. In this paper we present a novel approach to combining multiple kernels where the kernels are computed from different information channels. In contrast to traditional me...
Fei Yan, Krystian Mikolajczyk, Josef Kittler, Muha...
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
13 years 11 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...