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A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers

, , , and . arXiv:2007.06624 cs, (2020)cite arxiv:2007.06624Comment: 8.

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Neuro-Fuzzy Inference Systems of Type 2., and . FSKD, page 458-462. (2002)Neuro-fuzzy Systems., , , , and . Encyclopedia of Complexity and Systems Science, Springer, (2009)Asymptotic Output Tracking of Probabilistic Boolean Control Networks., , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 67-I (8): 2780-2790 (2020)A Decentralized Learning Control Scheme for Constrained Nonlinear Interconnected Systems Based on Dynamic Event-Triggered Mechanism., , , , and . IEEE Trans. Syst. Man Cybern. Syst., 53 (8): 4934-4943 (2023)Distributed Saturated Impulsive Control for Local Consensus of Nonlinear Time-Delay Multiagent Systems With Switching Topologies., , , and . IEEE Trans. Autom. Control., 69 (2): 771-782 (February 2024)InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement., , , , , and . IEEE Trans. Multim., (2023)Evolutionary Learning of Mamdani-Type Neuro-fuzzy Systems., and . ICAISC, volume 4029 of Lecture Notes in Computer Science, page 354-359. Springer, (2006)An online approach towards self-generating fuzzy neural networks with applications., , and . IJCNN, page 1-7. IEEE, (2010)The Parzen kernel approach to learning in non-stationary environment., , , and . IJCNN, page 3319-3323. IEEE, (2014)A method for automatic adjustment of ensemble size in stream data mining., , , and . IJCNN, page 9-15. IEEE, (2016)