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KDD
2005
ACM
171views Data Mining» more  KDD 2005»
15 years 10 months ago
Application of kernels to link analysis
Abstract. The application of kernel methods to link analysis is explored. We argue that a family of kernels on graphs provides a unified perspective on the three measures proposed ...
Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Mats...
ICPR
2008
IEEE
15 years 11 months ago
Image retrieval with graph kernel on regions
In the framework of the interactive search in image databases, we are interested in similarity measures able to learn during the search and usable in real-time. Images are represe...
Justine Lebrun, Sylvie Philipp-Foliguet, Philippe ...
ISAAC
2007
Springer
111views Algorithms» more  ISAAC 2007»
15 years 3 months ago
Problem Kernels for NP-Complete Edge Deletion Problems: Split and Related Graphs
In an edge deletion problem one is asked to delete at most k edges from a given graph such that the resulting graph satisfies a certain property. In this work, we study four NP-co...
Jiong Guo
ICML
2004
IEEE
15 years 10 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
IPPS
2007
IEEE
15 years 4 months ago
An Architectural Framework for Automated Streaming Kernel Selection
Hardware accelerators are increasingly used to extend the computational capabilities of baseline scalar processors to meet the growing performance and power requirements of embedd...
Nikolaos Bellas, Sek M. Chai, Malcolm Dwyer, Dan L...