Multiplicative noise removal via nonlocal similarity-based sparse representation
L Chen, X Liu, X Wang, P Zhu - Journal of Mathematical Imaging and …, 2016 - Springer
Based on the sparse representation and by connecting the local and nonlocal regularizer,
we proposed a new model to remove multiplicative noise in this paper. We first translated …
we proposed a new model to remove multiplicative noise in this paper. We first translated …
Discriminative structured dictionary learning for image classification
P Wang, J Lan, Y Zang, Z Song - Transactions of Tianjin University, 2016 - Springer
In this paper, a discriminative structured dictionary learning algorithm is presented. To
enhance the dictionary's discriminative power, the reconstruction error, classification error …
enhance the dictionary's discriminative power, the reconstruction error, classification error …
Improved feature extraction using structured Fisher discrimination sparse coding scheme for machinery fault diagnosis
Vibration signals reflecting different kinds of machinery conditions are very useful for fault
diagnosis. However, vibration signal characteristics are not the same for different types of …
diagnosis. However, vibration signal characteristics are not the same for different types of …
基于字典学习的正则化鲁棒稀疏表示肿瘤细胞图像识别
甘岚， 张永焕 - 计算机应用, 2016 - joca.cn
针对胃黏膜肿瘤细胞图像的高维性及复杂性的特点, 为了提高稀疏表示图像识别的鲁棒性,
提出了一种基于字典学习的正则化鲁棒稀疏表示(RRC) 肿瘤细胞图像识别方法 …
提出了一种基于字典学习的正则化鲁棒稀疏表示(RRC) 肿瘤细胞图像识别方法 …
A novel double-layer sparse representation approach for unsupervised dictionary learning
M Xu, Z Wang - Computer Vision and Image Understanding, 2016 - Elsevier
This paper presents a novel double-layer sparse representation (DLSR) approach, for
improving both reconstructive and discriminative capabilities of unsupervised dictionary …
improving both reconstructive and discriminative capabilities of unsupervised dictionary …