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Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition.

, , , , , and . J. Electronic Imaging, 24 (5): 053010 (2015)

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Constructive and axiomatic approaches to hesitant fuzzy rough set., , , and . Soft Comput., 18 (6): 1067-1077 (2014)Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition., , , , , and . J. Electronic Imaging, 24 (5): 053010 (2015)A novel fuzzy supervised learning method with dynamical parameter estimation for discriminant analysis., , , and . FSKD, page 18-22. IEEE, (2012)Quickly calculating reduct: An attribute relationship based approach., , , , , and . Knowl. Based Syst., (2020)Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data., , , , and . IEEE Trans. Fuzzy Syst., 27 (12): 2353-2367 (2019)Accelerator for multi-granularity attribute reduction., , , , , and . Knowl. Based Syst., (2019)Multi-label learning with label-specific feature reduction., , , , , and . Knowl. Based Syst., (2016)Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach., , , , and . J. Intell. Fuzzy Syst., 39 (1): 679-695 (2020)Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image segmentation., , , , and . IET Image Processing, 13 (4): 607-614 (2019)Incomplete Multigranulation Rough Sets in Incomplete Ordered Decision System., , , and . ICIC (3), volume 6840 of Lecture Notes in Computer Science, page 323-330. Springer, (2011)