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CAIP
2009
Springer
210views Image Analysis» more  CAIP 2009»
14 years 1 months ago
Shape Classification Using a Flexible Graph Kernel
The medial axis being an homotopic transformation, the skeleton of a 2D shape corresponds to a planar graph having one face for each hole of the shape and one node for each junctio...
François-Xavier Dupé, Luc Brun
ICDM
2006
IEEE
133views Data Mining» more  ICDM 2006»
14 years 3 months ago
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task
This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
François Fouss, Luh Yen, Alain Pirotte, Mar...
CORR
2008
Springer
108views Education» more  CORR 2008»
13 years 10 months ago
Hierarchical Bag of Paths for Kernel Based Shape Classification
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
François-Xavier Dupé, Luc Brun
TIT
2008
224views more  TIT 2008»
13 years 9 months ago
Graph-Based Semi-Supervised Learning and Spectral Kernel Design
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
Rie Johnson, Tong Zhang
GCB
2009
Springer
139views Biometrics» more  GCB 2009»
14 years 1 months ago
Graph-Kernels for the Comparative Analysis of Protein Active Sites
Abstract: Graphs are often used to describe and analyze the geometry and physicochemical composition of biomolecular structures, such as chemical compounds and protein active sites...
Thomas Fober, Marco Mernberger, Ralph Moritz, Eyke...