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» Approximate Tree Kernels
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ICIAP
2009
ACM
13 years 3 months ago
Tree Covering within a Graph Kernel Framework for Shape Classification
Abstract. Shape classification using graphs and skeletons usually involves edition processes in order to reduce the influence of structural noise. However, edition distances can no...
François-Xavier Dupé, Luc Brun
MICCAI
1999
Springer
13 years 10 months ago
Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation
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...
Erik H. W. Meijering, Wiro J. Niessen, Josien P. W...
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 8 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
EACL
2006
ACL Anthology
13 years 7 months ago
Making Tree Kernels Practical for Natural Language Learning
In recent years tree kernels have been proposed for the automatic learning of natural language applications. Unfortunately, they show (a) an inherent super linear complexity and (...
Alessandro Moschitti
AIRS
2008
Springer
14 years 4 days ago
Study of Kernel-Based Methods for Chinese Relation Extraction
Abstract. In this paper, we mainly explore the effectiveness of two kernelbased methods, the convolution tree kernel and the shortest path dependency kernel, for Chinese relation e...
Ruihong Huang, Le Sun, Yuanyong Feng