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Supervised Polsar Image Classification by Combining Multiple Features.

, , , and . ICIP, page 634-638. IEEE, (2019)

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Application of Cooperative Co-evolution in Pedestrian Detection Systems., , , and . ISI, volume 3495 of Lecture Notes in Computer Science, page 664-665. Springer, (2005)Model-based work-piece localization with salient feature selection., , , and . ROBIO, page 493-497. IEEE, (2013)Workpiece localization with shadow detection and removing., , , and . ROBIO, page 2727-2731. IEEE, (2013)A Novel Tensor-Based Feature Extraction Method for Polsar Image Classification., , , and . IGARSS, page 1152-1155. IEEE, (2019)Event-Triggered State Estimation for Discrete-Time Multidelayed Neural Networks With Stochastic Parameters and Incomplete Measurements., , and . IEEE Trans. Neural Networks Learn. Syst., 28 (5): 1152-1163 (2017)Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 29 (7): 2731-2742 (2018)Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval., , , , , , , and . CoRR, (2016)An Improved Gilbert Algorithm with Rapid Convergence., , , and . IROS, page 3861-3866. IEEE, (2006)PolSAR Image Feature Extraction via Co-Regularized Graph Embedding., , and . Remote. Sens., 12 (11): 1738 (2020)State Primitive Learning to Overcome Catastrophic Forgetting in Robotics., , , , and . Cogn. Comput., 13 (2): 394-402 (2021)