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Improving image retrieval effectiveness via sparse discriminant analysis., , , , and . Multim. Tools Appl., 82 (20): 30807-30830 (2023)Graph-based semisupervised and manifold learning for image retrieval with SVM-based relevant feedback., , , , and . J. Intell. Fuzzy Syst., 37 (1): 711-722 (2019)Leaf disease classification with Multiple-model deep learning., , , and . J. Intell. Fuzzy Syst., 46 (1): 2811-2823 (January 2024)Semantic class discriminant projection for image retrieval with relevance feedback., , and . Multim. Tools Appl., 80 (10): 15351-15376 (2021)Stuck Query Point Processing Of Multi-point Query For Image Retrieval With Relevance Feedback., , and . J. Inf. Hiding Multim. Signal Process., 12 (2): 42-55 (2021)An efficient semantic - Related image retrieval method., , , and . Expert Syst. Appl., (2017)An efficient image retrieval method using adaptive weights., , , , and . Appl. Intell., 48 (10): 3807-3826 (2018)Image Retrieval Uses SVM-Based Relevant Feedback for Imbalance and Small Training Set., , and . RIVF, page 1-6. IEEE, (2019)Learning binary codes for fast image retrieval with sparse discriminant analysis and deep autoencoders., , , , and . Intell. Data Anal., 27 (3): 809-831 (2023)Improve The Efficiency Of Content-based Image Retrieval Through Incremental Clustering., , , , and . J. Inf. Hiding Multim. Signal Process., 11 (3): 103-115 (2020)