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發(fā)表于 2025-3-21 17:05:05 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Graph-Based Representations in Pattern Recognition
編輯Donatello Conte,Jean-Yves Ramel,Pasquale Foggia
視頻videohttp://file.papertrans.cn/388/387999/387999.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: ;
出版日期Conference proceedings 2019
版次1
doihttps://doi.org/10.1007/978-3-030-20081-7
isbn_softcover978-3-030-20080-0
isbn_ebook978-3-030-20081-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
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沙發(fā)
發(fā)表于 2025-3-22 00:17:01 | 只看該作者
板凳
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地板
發(fā)表于 2025-3-22 06:40:16 | 只看該作者
https://doi.org/10.1007/978-3-663-04923-4s. One of its main constraints is that it requires an adequate definition of edit costs, which are application dependent. These costs eventually determine which graphs are considered similar or not in a concrete application. Several methods have been presented to learn these costs to avoid manually
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發(fā)表于 2025-3-22 12:05:02 | 只看該作者
Herwart Opitz,Johannes Bielefeldeen presented. Nevertheless, these algorithms usually cannot be used in real applications due to runtime restrictions. For this reason, other graph-matching algorithms have also been used that compute an approximation of the graph correspondence with lower runtime. Clearly, in a real application, th
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發(fā)表于 2025-3-22 16:17:37 | 只看該作者
https://doi.org/10.1007/978-3-663-04924-1e to adapt their size and structure to the individual handwriting and represent binary relationships that might exist within the handwriting. We observe an increasing number of graph-based keyword spotting frameworks in the last years. In general, keyword spotting allows to retrieve instances of an
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發(fā)表于 2025-3-23 04:59:59 | 只看該作者
https://doi.org/10.1007/978-3-663-02705-8lasses according to their reported biological functions. The goal of this database is to provide a platform for investigating the classification of RNA using graph-based methods. The molecules are represented by graphs representing the sequence and base-pairs of the RNA, with a number of labelling s
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發(fā)表于 2025-3-23 07:45:11 | 只看該作者
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