.png){kind=icon}
返回
Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomography
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2021.116296.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The advent of electrical capacitance tomography provides a potential visualization-based measurement paradigm for process monitoring, but the large gap between the reconstructed images and the true images poses a great challenge to the application of the technology. To settle the formidable challenge, this study proposes a new twostage self-paced learning-based reconstruction (SPLR) method. In the first stage, the random forest method is introduced to provide a prediction of the reference image. The reference image prior is data-adaptive and does not require any prior assumptions, which is different from common handcrafted priors. In the second stage, the self-paced learning (SPL) is introduced to build a new optimization problem equipped with the sparse prior and the reference image for formulating the inversion-based reconstruction problem (IBRP), which is solved by a new optimizer that only requires the gradient information, without inversion computation. The new SPLR algorithm achieves not only the fusion of the domain knowledge and the dada-adaptive knowledge learned from the given dataset but also the confluence of the supervised learning and the solution of the IBRP. Quantitative validation results on challenging cases illustrating the performance gain of the SPLR algorithm over the prevalent imaging techniques in terms of reconstruction quality and robustness are displayed.
Keyword:
Computational imaging
Random forest
Self-paced learning
Inverse problem
Electrical capacitance tomography
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
Presenting Concerns of Veterans Entering Treatment for Posttraumatic Stress Disorder提出退伍军人进入创伤后应激障碍治疗的担忧
PREAI
分享收藏Lack of prion transmission by sexual or parental routes in experimentally infected hamsters在实验感染的仓鼠中缺乏通过性或父母途径传播的病毒.png)
Prion
OAAI
PrionIF0
OAAI分享收藏Stakeholder collaboration to support accountability in village fund management and rural development
OAAI
OAAI分享收藏Image Reconstruction for Electrical Capacitance Tomography Based on Sparse Representation基于稀疏表示的电容层析成像图像重建
PREAI
分享收藏Generalized class-specific kernelized extreme learning machine for multiclass imbalanced learning用于多类不平衡学习的广义类特定核化极限学习机
PREAI
分享收藏A bi-objective hybrid optimization algorithm to reduce noise and data dimension in diabetes diagnosis using support vector machines基于支持向量机的糖尿病诊断中降低噪声和数据维数的双目标混合优化算法
PREAI
分享收藏Robust dynamic inversion algorithm for the visualization in electrical capacitance tomographyMEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏
查看更多内容