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» Measuring the Similarity of Labeled Graphs
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WEA
2009
Springer
126views Algorithms» more  WEA 2009»
14 years 1 months ago
Measuring the Similarity of Geometric Graphs
What does it mean for two geometric graphs to be similar? We propose a distance for geometric graphs that we show to be a metric, and that can be computed by solving an integer li...
Otfried Cheong, Joachim Gudmundsson, Hyo-Sil Kim, ...
IDEAL
2007
Springer
14 years 22 days ago
A New Dissimilarity Measure Between Trees by Decomposition of Unit-Cost Edit Distance
Abstract. Tree edit distance is a conventional dissimilarity measure between labeled trees. However, tree edit distance including unit-cost edit distance contains the similarity of...
Hisashi Koga, Hiroaki Saito, Toshinori Watanabe, T...
ECCV
2008
Springer
14 years 8 months ago
Improving Shape Retrieval by Learning Graph Transduction
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuow...
CVPR
2006
IEEE
14 years 8 months ago
Multi-Target Tracking - Linking Identities using Bayesian Network Inference
Multi-target tracking requires locating the targets and labeling their identities. The latter is a challenge when many targets, with indistinct appearances, frequently occlude one...
Peter Nillius, Josephine Sullivan, Stefan Carlsson
CVPR
2007
IEEE
14 years 8 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