The standard primitives of quantum computing include deterministic unitary entangling gates, which are not natural operations in many systems including photonics. Here, we present fusion-based quantum computation, a model for fault tolerant quantum compu
SVIn2: A multi-sensor fusion-based underwater SLAM system 基于多传感器融合的水下 SLAM 系统 开源水下融合声呐数据系统SLAM,基于OKVIS增加了图像分块直方图均衡化增强,融合深度计,声呐,双目IMU数据。和主流的ORB-SLAM3,vins-mono,OKVIS和MSCKF方法进行对比。使用了EuRoC地面开源数据集,AQUALOC开源水下数据集,自己...
论文名称:Information Fusion-Based Deep Neural Attentive Matrix Factorization Recommendation 原文地址:IFDNAMF ⚡本系列历史文章⚡ 【推荐系统论文精读系列】(一)--Amazon.com Recommendations 【推荐系统论文精读系列】(二)--Factorization Machines 【推荐系统论文精读系列】(三)--Matrix Factorization Techniques For...
Fusion-based knowledge logistics for intelligent decision support in network-centric environment. International Journal of General Systems, vol. 34, no. 6, pp. 673-690.Smirnov, A., Pashkin, M., Levashova, T., Chilov, N. Fusion-Based Knowledge Logistics for Intelligent Decision Support in ...
论文阅读《Self-Attention Guidance and Multiscale Feature Fusion-Based UAV Image Object Detection》 Tywwhale 1 人赞同了该文章 摘要 无人机(UAV)图像的目标检测是近年来研究的热点。现有的目标检测方法在一般场景上取得了很好的结果,但无人机图像存在固有的挑战。无人机图像的检测精度受到复杂背景、显著尺度...
常用的成像方式有T1加权(T1)、对比增强T1加权(T1c)、T2加权(T2)和液体衰减反转恢复(FLAIR)图像。不同的成像方式可以为分析胶质瘤的不同亚区提供补充信息,例如T2和FLAIR可以突出肿瘤周围水肿,也可以指定为整个肿瘤。T1和T1c显示肿瘤无瘤周水肿,为肿瘤核心。在T1c中还可以观察到高强度的肿瘤核心增强区,称为增强...
论文名称:Information Fusion-Based Deep Neural Attentive Matrix Factorization Recommendation 原文地址:IFDNAMF ⚡本系列历史文章⚡ 【推荐系统论文精读系列】(一)–Amazon.com Recommendations 【推荐系统论文精读系列】(二)–Factorization Machines ...
2021, Information Fusion Citation Excerpt : Explicitly, it aims to utilize social data fusion for identifying similar consumers, and hence, updating each consumer rating of recommended actions using similar consumers. In [73], a multi-level fusion-based recommender system is developed to produce coll...
论文阅读06——《CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering》 Ideas: Model: 交叉注意力融合模块 图自编码器 Ideas: 提出一种基于端到端的交叉注意力融合的深度聚类框架,其中交叉注意力融合模块创造性地将图卷积自编码器模块和自编码器模块多层级连起来 ...
Topology and Semantic Information Fusion Classification Network Based on Hyperspectral Images of Chinese Herbs hyperspectral data.This paper proposes a deep learning model called Topology and semantic information fusion classifica-tion network(TSFnet)that incorporates a... B Zhao,Y Zhang,Z Guo,... -...