106 search results - page 2 / 22 » A generalization of Haussler's convolution kernel: mapping k... |
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
General graph matching methods often suffer from the lack of mathematical structure in the space of graphs. Using kernel functions to evaluate structural graph similarity allows u...
BMVC
2010
13 years 3 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...
MICCAI
1999
Springer
13 years 9 months ago
1999
Springer
Interpolation is required in many medical image processing operations. From sampling theory, it follows that the ideal interpolation kernel is the sinc function, which is of infin...
TVLSI
2008
13 years 5 months ago
2008
To satisfy the advanced forward-error-correction (FEC) standards, in which the Convolutional code and Turbo code may co-exit, a prototype design of a unified Convolutional/Turbo de...
CVPR
2010
IEEE
14 years 1 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...