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On Linguistic Variables and Sparse Representations
2015Linguistic variables can be seen as dictionaries to represent data. In fields as Signal Processing or Machine Learning is usual to use or to search redundant dictionaries to promote sparse representations. This kind of representations present several interesting properties as a high generalization capacity, simplification and economy, among others.
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Efficient Sparse Representation for Learning With High-Dimensional Data
IEEE Transactions on Neural Networks and Learning Systems, 2023Shengxiang Yang, Zhu Wang
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Combined sparse and collaborative representation for hyperspectral target detection
Pattern Recognition, 2015Bing Zhang, Qian Du
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Random subspace based ensemble sparse representation
Pattern Recognition, 2018Puhua Chen, Jing Gu, Shuyuan Yang
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Nonlocally Centralized Sparse Representation for Image Restoration
IEEE Transactions on Image Processing, 2013Weisheng Dong
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Image Super-Resolution Via Sparse Representation
IEEE Transactions on Image Processing, 2010John Wright
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