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» Kernels and Regularization on Graphs
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166
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SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
14 years 6 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
145
Voted
WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
15 years 10 months ago
Aligning Biomolecular Networks Using Modular Graph Kernels
Comparative analysis of biomolecular networks constructed using measurements from different conditions, tissues, and organisms offer a powerful approach to understanding the stru...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...
161
Voted
PAMI
2007
202views more  PAMI 2007»
15 years 3 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
128
Voted
SCIA
2009
Springer
146views Image Analysis» more  SCIA 2009»
15 years 10 months ago
Extraction of Windows in Facade Using Kernel on Graph of Contours
In the past few years, street-level geoviewers has become a very popular web-application. In this paper, we focus on a first urban concept which has been identified as useful for...
Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, F...
122
Voted
PAMI
2010
103views more  PAMI 2010»
15 years 2 months ago
The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph
—This work introduces a link-based covariance measure between the nodes of a weighted directed graph where a cost is associated to each arc. To this end, a probability distributi...
Amin Mantrach, Luh Yen, Jérôme Callut...