找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

[复制链接]
楼主: ALLY
发表于 2025-3-28 17:58:57 | 显示全部楼层
MS3DAAM: Multi-scale 3-D Analytic Attention Module for Convolutional Neural Networksnificantly reduce model complexity by developing a decoupling-and-coupling strategy. Firstly, we factorize the regular attention along channel, height and width directions and then efficiently encode the information via 1-D convolutions, which greatly saves the computational power. Secondly, we mult
发表于 2025-3-28 22:29:05 | 显示全部楼层
Nonlinear Multiple-Delay Feedback Based Kernel Least Mean Square Algorithmmultiple-delay into the framework of multikernel adaptive filtering. The proposed algorithm incorporates the nonlinear multiple-delay to enhance the filtering performance in comparison with the kernel adaptive filtering algorithm using linear feedback. Furthermore, for NMDF-KLMS, the theoretical mea
发表于 2025-3-29 00:46:25 | 显示全部楼层
发表于 2025-3-29 04:13:12 | 显示全部楼层
发表于 2025-3-29 11:02:02 | 显示全部楼层
发表于 2025-3-29 14:36:41 | 显示全部楼层
发表于 2025-3-29 16:10:38 | 显示全部楼层
Determination of Local and Global Decision Weights Based on Fuzzy Modelingferences for decision problems in determining the importance of criteria. However, these values are not necessarily constant in the whole domain. Although many approaches are related to their determination, some MCDA models can have local weights that are difficult to map in global spaces. This pape
发表于 2025-3-29 23:29:16 | 显示全部楼层
发表于 2025-3-30 03:48:40 | 显示全部楼层
Distributed State Estimation for Multi-agent Systems Under Consensus Control in this paper. The distributed output tracking algorithm and the local state estimator are designed for each agent to estimate the output and state of the entire multi-agent system, despite having access only to local output measurements that are insufficient to directly reconstruct the entire stat
发表于 2025-3-30 07:08:55 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-18 08:23
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表