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112
Voted
BMVC
2010
14 years 10 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
115
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ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
96
Voted
CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
104
Voted
AAAI
2007
15 years 3 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...
75
Voted
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE