@InProceedings{CI-DUPE-2008-2,


author = {Dup'e, F.-X. and Brun, L.},
title = {Hierarchical Bag of Paths for Kernel Based Shape Classification},
booktitle = {Proceedings of S+SSPR 2008},
pages = {227-236} ,
year = {2008},
theme= {shape,pattern},
address = {Orlando},
abstract={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 until recently solely
reserved to numerical data. Within the shape classification
framework, graphs are often produced by a skeletonization step which
is sensitive to noise. We propose in this paper to integrate the
robustness to structural noise by using a kernel based on a bag of
path where each path is associated to a hierarchy encoding
successive simplifications of the path. Several experiments prove
the robustness and the flexibility of our approach compared to
alternative shape classification methods.},
url={paper(pdf):=https://brunl01.users.greyc.fr/ARTICLES/sspr2008.pdf, arXiv:=https://arxiv.org/abs/0810.3579}

 }