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Quantum Image Searching Based on Probability Distributions 被引量:3
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作者 Fei Yan Abdullah M. Iliyasu +4 位作者 Chastine Fatichah Martin L. Tangel Janet P. Betancourt Fangyan Dong kaoru hirota 《Journal of Quantum Information Science》 2012年第3期55-60,共6页
A quantum image searching method is proposed based on the probability distributions of the readouts from the quantum measurements. It is achieved by using low computational resources which are only a single Hadamard g... A quantum image searching method is proposed based on the probability distributions of the readouts from the quantum measurements. It is achieved by using low computational resources which are only a single Hadamard gate combined with m + 1 quantum measurement operations. To validate the proposed method, a simulation experiment is used where the image with the highest similarity value of 0.93 to the particular test image is retrieved as the search result from 4 × 4 binary image database. The proposal provides a basic step for designing a search engine on quantum computing devices where the image in the database is retrieved based on its similarity to the test image. 展开更多
关键词 QUANTUM COMPUTATION IMAGE Processing QUANTUM IMAGE QUANTUM CIRCUIT IMAGE SEARCHING PROBABILITY Distribution
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面向动态场景去模糊的对偶学习生成对抗网络
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作者 纪野 戴亚平 +1 位作者 廣田薰 邵帅 《控制与决策》 EI CSCD 北大核心 2024年第4期1305-1314,共10页
针对动态场景下的图像去模糊问题,提出一种对偶学习生成对抗网络(dual learning generative adversarial network,DLGAN),该网络可以在对偶学习的训练模式下使用非成对的模糊图像和清晰图像进行图像去模糊计算,不再要求训练图像集合必... 针对动态场景下的图像去模糊问题,提出一种对偶学习生成对抗网络(dual learning generative adversarial network,DLGAN),该网络可以在对偶学习的训练模式下使用非成对的模糊图像和清晰图像进行图像去模糊计算,不再要求训练图像集合必须由模糊图像与其对应的清晰图像成对组合而成.DLGAN利用去模糊任务与重模糊任务之间的对偶性建立反馈信号,并使用这个信号约束去模糊任务和重模糊任务从两个不同的方向互相学习和更新,直到收敛.实验结果表明,在结构相似度和可视化评估方面,DLGAN与9种使用成对数据集训练的图像去模糊方法相比具有更好的性能. 展开更多
关键词 动态场景去模糊 对偶学习 生成对抗网络 注意力引导 特征图损耗函数
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A review of cooperative path planning of an unmanned aerial vehicle group 被引量:4
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作者 Hao ZHANG Bin XIN +2 位作者 Li-hua DOU Jie CHEN kaoru hirota 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2020年第12期1671-1694,共24页
As a cutting-edge branch of unmanned aerial vehicle(UAV)technology,the cooperation of a group of UAVs has attracted increasing attention from both civil and military sectors,due to its remarkable merits in functionali... As a cutting-edge branch of unmanned aerial vehicle(UAV)technology,the cooperation of a group of UAVs has attracted increasing attention from both civil and military sectors,due to its remarkable merits in functionality and flexibility for accomplishing complex extensive tasks,e.g.,search and rescue,fire-fighting,reconnaissance,and surveillance.Cooperative path planning(CPP)is a key problem for a UAV group in executing tasks collectively.In this paper,an attempt is made to perform a comprehensive review of the research on CPP for UAV groups.First,a generalized optimization framework of CPP problems is proposed from the viewpoint of three key elements,i.e.,task,UAV group,and environment,as a basis for a comprehensive classification of different types of CPP problems.By following the proposed framework,a taxonomy for the classification of existing CPP problems is proposed to describe different kinds of CPPs in a unified way.Then,a review and a statistical analysis are presented based on the taxonomy,emphasizing the coordinative elements in the existing CPP research.In addition,a collection of challenging CPP problems are provided to highlight future research directions. 展开更多
关键词 Unmanned aerial vehicle group COOPERATION Path planning Optimization problem
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