Titlebook: ;

和尚吃肉片

書目名稱Graph-Based Representations in Pattern Recognition影響因子(影響力)




書目名稱Graph-Based Representations in Pattern Recognition影響因子(影響力)學(xué)科排名




書目名稱Graph-Based Representations in Pattern Recognition網(wǎng)絡(luò)公開度




書目名稱Graph-Based Representations in Pattern Recognition網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Graph-Based Representations in Pattern Recognition被引頻次




書目名稱Graph-Based Representations in Pattern Recognition被引頻次學(xué)科排名




書目名稱Graph-Based Representations in Pattern Recognition年度引用




書目名稱Graph-Based Representations in Pattern Recognition年度引用學(xué)科排名




書目名稱Graph-Based Representations in Pattern Recognition讀者反饋




書目名稱Graph-Based Representations in Pattern Recognition讀者反饋學(xué)科排名

薄膜

Delirium

倔強(qiáng)一點(diǎn)

Modelling Small Deformations of PolycrystalsWe present a direct algorithm that computes a largest common connected induced subgraph of two given graphs. It is based on an efficient generation of the common connected induced subgraphs of the input graphs. Experimental results are provided.

CUR

招人嫉妒

招人嫉妒

善變

約會(huì)

Synapse

A Vascular Network Growth Estimation Algorithm Using Random Graphs (intussusception). Graph theory is a branch of discrete mathematics that is excellently suited to model vascular networks and to analyze their properties (invariants). A random graph process model can simulate the development of a vascular network that has been modeled using graph theory. The renal