基于模型的融合方法：稀疏表示、自适应稀疏表示、组稀疏表示、RSR、JSR、PCNN、SPCNN、自适应PCNN、CNN、改进的CNN。混合型融合方法：LP+差分进化、DWT+PCA、拉普拉斯金字塔+PCA、LP+DWT、MST+SR、GF+SR、NSCT+SR、NSDTCT+SR、PCNN+NSCT、双PCNN+NSST。参考文献：[1]魏宁. 多源图像融合的理论与方法研究[D]. ...
多源谱嵌入融合学习算法(Multi-source Spectral Embedding Fusion Learning Algorithm,简称MSEF)是一种专门设计用于处理多源数据的高级学习方法,其目标是在不同数据源之间建立一致的表示,从而提高聚类性能和数据理解的全面性。 这种算法的核心在于利用全局和局部谱嵌入的融合,以全面捕获多源数据的结构信息。 步骤与公式详解 ...
网络释义 1. 多源图像融合 多帧图像融... ... ) multiimage fusion 多重图像融合 ) Multi-source Image Fusion 多源图像融合 ) frames fusion 多帧图像融合 ... www.dictall.com|基于3个网页 例句 释义: 全部,多源图像融合 更多例句筛选 1. This is an upgrade based on wavelet and fractal theory of...
网络称多源信息融合 网络释义 1. 称多源信息融合 【摘要】:多传感器信息融合(Multi Sensor Information Fusion)或称多源信息融合(Multi Source Information Fusion)。由于早期 … www.cnki.com.cn|基于 1 个网页 例句
The concept of fusion of soft computing and hard computing has rapidly gained importance over the last few years. Soft computing is known as a complementar... B Sick,SJ Ovaska - 《Neural Computing & Applications》 被引量: 16发表: 2007年 Soft Computing for Business Intelligence The book Soft...
Take data driven method as theoretical basis, study multi-source information fusion technology. Using online and off-line data of the fusion system, does not rely on system's mathematical model, has avoided question about system modeling by mechanism. Uses principal component analysis method, rough...
multi-source data fusionminimum weighted symmetric differencecomponent classifySummary: Because of the distributed and heterogeneous characteristics of customized product data, establishing product family architecture based on existing customized product data has became a huge challenge for manufacturer. In order...
基于梯度提升决策树的露天矿边坡多源信息融合与稳定性预测/Multi-source information fusion and stability prediction of slope based on gradient boosting decisio... Zhang Lingfan,chen zhonghui,zhou tianbai,... 被引量: 0发表: 2020年 多源信息融合(第2版) (HAN Chongzhao, ZHU Hongyan, DUAN Zhansheng. ...
this research proposes a novel multi-source information fusion approach that combines Bayesian network (BN), cloud model (CM), support vector machine (SVM), Dempster–Shafer (D–S) evidence theory, and Monte Carlo (MC) simulation technique. Those methods (CM, BN, SVM) are used to analyze ...
A general view of the multi-source data fusion process is presented. Some of the considerations and information that must go into the development of a multi-source data fusion algorithm are described. Features that play a role in expressing user requirements are also described. We provide a gene...