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Label propagation dictionary learning based process monitoring method for industrial process with be
With the development of the industrial cyber-physical systems,a small amount of labeled data and a large amount of unlab......
Due to the strong background noise and the acquisition system noise,the useful characteristics are often difficult to be......
Data-driven process-monitoring methods have been the mainstream for complex industrial systems due to their universality......
Considerable attempts have been made on removing the crosstalk noise in a simultaneous source data using the popular K-m......
In this paper,we propose a robust visual tracking method by exploiting both the structural and the context information.F......
Class-Discriminative Kernel Sparse Representation-Based Classification Using Multi-Objective Optimiz
In this paper, we propose class-discriminative kernel sparse representation-based classification (KSRC) using multi-obje......
Reconstruction of gene regulatory networks (GRNs) is of utmost interest to biologists and is vital for understanding the......
为了解决图像超分辨率重建中稀疏系数解的不精确问题,提出了一种自适应正则化级联稀疏矩阵的超分辨率重建算法。根据图像自身的特......
字典的选择影响基于稀疏编码的图像超分辨率重建模型的重建质量。提出了一种基于协作稀疏表达的字典学习算法。在训练阶段,通过K-M......
光声成像兼具光学成像的高对比度和超声成像对深层组织的高分辨率等优点,在生物医学成像领域具有巨大的潜力,而且发展十分迅速;光......
针对图像修复过程中单一的字典迭代时间长、适应性差、修复效果不理想的缺点,提出了一种结合图像特征聚类与字典学习的改进的图像......
Sparse-representation-based single-channel source separation, which aims to recover each source\'s signal using its co......
The monitoring of flue gas of the thermal power plants is of great significance in energy conservation and environmental......
Behind the prevalence of multimedia technology,digital copyright disputes are becoming increasingly serious.The digital ......
