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» Kernels and Regularization on Graphs
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96
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GBRPR
2009
Springer
15 years 7 months ago
Edition within a Graph Kernel Framework for Shape Recognition
A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes ...
François-Xavier Dupé, Luc Brun
90
Voted
LATIN
2000
Springer
15 years 4 months ago
Small Maximal Matchings in Random Graphs
We look at the minimal size of a maximal matching in general, bipartite and
Michele Zito
CVPR
2007
IEEE
16 years 2 months ago
Image Classification with Segmentation Graph Kernels
We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of subtree-patterns of the r...
Francis Bach, Zaïd Harchaoui
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
16 years 27 days ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
84
Voted
STOC
2002
ACM
121views Algorithms» more  STOC 2002»
16 years 23 days ago
Almost all graphs with average degree 4 are 3-colorable
We analyze a randomized version of the Brelaz heuristic on sparse random graphs. We prove that almost all graphs with average degree dp4:03; i.e., G?n; p ? d=n?; are 3-colorable a...
Dimitris Achlioptas, Cristopher Moore