Results 11 to 20 of about 190,756 (265)
Efficient Spatiotemporal Graph Search for Local Trajectory Planning on Oval Race Tracks
Autonomous racing has increasingly become a research subject as it provides insights into dynamic, high-speed situations. One crucial aspect of handling these situations, especially in the presence of dynamic obstacles, is the generation of a collision ...
Matthias Rowold +3 more
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Time-stage driven pathfinding framework for optimized medical treatments
Coming up with the correct patient-specific treatment procedure is a non-trivial task. One of the main challenges is that the problem is combinatorial, and each treatment can be followed by numerous treatments.
Karen Gishyan +2 more
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The search for minimal edge 1-extension of an undirected colored graph [PDF]
Let $G=(V, \alpha, f)$ be a colored graph with a coloring function $f$ defined on its vertices set $V$. Colored graph $G^*$ is an edge $1$-extension of a colored graph $G$ if $G$ could be included into each subgraph taking into consideration the colors ...
Razumovsky, Peter Vladimirovich
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Binary Search in Graphs Revisited [PDF]
In the classical binary search in a path the aim is to detect an unknown target by asking as few queries as possible, where each query reveals the direction to the target. This binary search algorithm has been recently extended by [Emamjomeh-Zadeh et al., STOC, 2016] to the problem of detecting a target in an arbitrary graph. Similarly to the classical
Deligkas, A. +2 more
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Teaching and Learning Strategies for First-year Medical Students [PDF]
We read with great interest the article “Graph Constructors Versus Graph Interpreters Versus Non Graphers: A Search towards Better Cognitive Performers in Biochemistry among First-Year Medical Undergraduates,” published by Gunanithi K et al., in the July
Sarita Anil Shinde, Umesh K More
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GSO:A GNN-based Deep Learning Computation Graph Substitutions Optimization Framework [PDF]
Deep learning has achieved great success in various practical applications.How to effectively improve the model execution efficiency is one of the important research issues in this field.The existing deep learning frameworks usually model deep learning ...
MIAO Xu-peng, ZHOU Yue, SHAO Ying-xia, CUI Bin
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Barrière, Lali +6 more
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Bui-Xuan, Binh-Minh +2 more
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USING PRECEDENTS FOR REDUCTION OF DECISION TREE BY GRAPH SEARCH [PDF]
The paper considers the problem of mutual payment organization between business entities by means of clearing that is solved by search of graph paths. To reduce the decision tree complexity a method of precedents is proposed that consists in saving the ...
I. A. Bessmertny +2 more
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Nisse, Nicolas, Soguet, David
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