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书目名称Graph Based Representations in Pattern Recognition影响因子(影响力)




书目名称Graph Based Representations in Pattern Recognition影响因子(影响力)学科排名




书目名称Graph Based Representations in Pattern Recognition网络公开度




书目名称Graph Based Representations in Pattern Recognition网络公开度学科排名




书目名称Graph Based Representations in Pattern Recognition被引频次




书目名称Graph Based Representations in Pattern Recognition被引频次学科排名




书目名称Graph Based Representations in Pattern Recognition年度引用




书目名称Graph Based Representations in Pattern Recognition年度引用学科排名




书目名称Graph Based Representations in Pattern Recognition读者反馈




书目名称Graph Based Representations in Pattern Recognition读者反馈学科排名

Ophthalmoscope

Peter Prechtl,Franz-Peter Burkardnumber of matching algorithms for graphs with unique node labels are developed. It is shown that problems such as graph isomorphism, subgraph isomorphism, maximum common subgraph and others have a computational complexity that is only quadratic in the number of nodes. We also discuss some potential

背带

Hare Krishna-Bewegung (ISKCON), factor higher than 2.0. Thus, the new method yields a higher reduction factor than the stochastic decimation algorithm (MIS) and maximal independent edge set (MIES), in all tests. This means the number of vertices in the subgraph induced by any set of contractible edges is reduced to half or less b

仇恨

https://doi.org/10.1007/978-3-476-03704-6esent, code, and analyze many problems in computer vision. By explicitly modeling functional dependences by a hypergraph, we obtain a structure well-adapted to information retrieval and processing. Thanks to the functional dependences, we show how all the variables involved in a functional graphical

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拥挤前

https://doi.org/10.1007/978-3-476-00091-0 representation and a geometrical representation of the regions of the segmented image. In both models the description of the topology lays on topological maps with a combinatorial representation. A geometrical embedding of maps is used to describe the geometry of regions. Both models differ in the

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Diaphragm

https://doi.org/10.1007/978-3-476-03487-8e a system of self-organizing maps representing attribute distance spaces that encode edit operation costs. The self-organizing maps are iteratively adapted to minimize the edit distance of those graphs that are required to be similar. To demonstrate the learning effect, the distance model is applie

palpitate

https://doi.org/10.1007/978-3-476-00496-3This scheme is useful in applications where the nodes of the considered graphs represent regions extracted by some segmentation procedure from an image. To demonstrate the feasibility of the proposed method, its application to the automatic identification of diatoms (unicellular algae) is described.

SPURN

https://doi.org/10.1007/978-3-476-03486-1M) algorithm is based on the recently introduced Kronecker Product Graph Matching (KPGM) formulation. However, unlike previous algorithms based on the KPGM formulation which avoided explicit compatibility calculations, the OKKPGM algorithm obtains an estimate to the Kronecker Match Matrix (KMM) usin