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Auto-encoder Based Co-training Multi-view Representation Learning.

, , , , and . PAKDD (3), volume 11441 of Lecture Notes in Computer Science, page 119-130. Springer, (2019)

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Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices., , , and . IJCNN, page 1-8. IEEE, (2021)Auto-encoder Based Co-training Multi-view Representation Learning., , , , and . PAKDD (3), volume 11441 of Lecture Notes in Computer Science, page 119-130. Springer, (2019)DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data., , , , , , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 178-189. Springer, (2019)Partially latent factors based multi-view subspace learning., , , and . Comput. Intell., 38 (5): 1772-1801 (2022)Multi-view Subspace Adaptive Learning via Autoencoder and Attention., , , and . ICONIP (2), volume 12533 of Lecture Notes in Computer Science, page 536-545. Springer, (2020)Affine Transformation Capsule Net., , , and . PAKDD (Workshops), volume 11154 of Lecture Notes in Computer Science, page 233-242. Springer, (2018)Multi-View Capsule Network., , , , , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 152-165. Springer, (2019)Rank Pruning Approach for Noisy Multi-label Learning., , , and . SMC, page 426-431. IEEE, (2018)FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data., , , , , , and . IJCNN, page 1-7. IEEE, (2019)