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The method suggested in [34] provides a full picture of topics from multiple corpora which can represent time updated versions of earlier corpora, where the hierarchical topic models have been merged based on graph matching methods [34], such as graph edit distance and other such methods [34].
A co-segmentation framework was formulated by MRF, and a new global term based on graph matching was proposed.
Those include measures based on molecular descriptors [10], measures based on molecular fragments (such as MACCS) and measures based on graph matching (such as maximum common substructure searches [11 13]).
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The proposal significantly differs from standard methods based on graph-matching algorithms, and is based on the idea of representing the structure of a document as a time series in which each occurrence of a tag corresponds to an impulse.
The authors propose a new scheme based on graph theory method of matching and coloring.
He applied images based on graph paper and drafting curves to his car.
In this paper, we call graphs based on graph theory "network graphs".
It is based on graph theory and dynamic programming.
This data representation model is based on graph theory.
It is based on graph theory and logic.
The study of Leung et al. [76] based on random graph matching is one of the first methods in this category.
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