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Semantics-preserving hashing for cross-view retrieval.

, , , and . CVPR, page 3864-3872. IEEE Computer Society, (2015)

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TAR++: A New Process Model Similarity Algorithm Based on the Importance of TARs., , , and . AP-BPM, volume 219 of Lecture Notes in Business Information Processing, page 98-112. Springer, (2015)Domain Adaptation with Randomized Multilinear Adversarial Networks., , , and . CoRR, (2017)Combining Smooth Graphs with Semi-supervised Learning., , and . APWeb/WAIM, volume 4505 of Lecture Notes in Computer Science, page 329-340. Springer, (2007)Transfer Adversarial Hashing for Hamming Space Retrieval., , , and . AAAI, page 6698-6705. AAAI Press, (2018)Transferable Curriculum for Weakly-Supervised Domain Adaptation., , , and . AAAI, page 4951-4958. AAAI Press, (2019)Deep Cauchy Hashing for Hamming Space Retrieval., , , and . CVPR, page 1229-1237. Computer Vision Foundation / IEEE Computer Society, (2018)PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs., , , , and . NIPS, page 879-888. (2017)Transferable Normalization: Towards Improving Transferability of Deep Neural Networks., , , , and . NeurIPS, page 1951-1961. (2019)Debiased Self-Training for Semi-Supervised Learning., , , , , and . NeurIPS, (2022)Transferable Representation Learning with Deep Adaptation Networks., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 41 (12): 3071-3085 (2019)