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A faster convergence and concise interpretability TSK fuzzy classifier deep-wide-based integrated learning.

, , , , and . Appl. Soft Comput., (2019)

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A faster convergence and concise interpretability TSK fuzzy classifier deep-wide-based integrated learning., , , , and . Appl. Soft Comput., (2019)Balancing Logit Variation for Long-tailed Semantic Segmentation., , , , , , , and . CoRR, (2023)DualSANet: Dual Spatial Attention Network for Iris Recognition., , and . WACV, page 888-896. IEEE, (2021)Lifetime and latency aware data collection based on k-tree., , and . ISSNIP, page 1-6. IEEE, (2015)Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels., , , , , , , , and . CoRR, (2022)MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection., , , , , , , and . ICCV (Workshops), page 993-1002. IEEE, (2023)Online Anomaly Detection with Sparse Gaussian Processes., and . CoRR, (2019)Decoupled Consistency for Semi-supervised Medical Image Segmentation., , , and . MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 551-561. Springer, (2023)Active Learning Methods with Deep Gaussian Processes., , , and . ICONIP (3), volume 11303 of Lecture Notes in Computer Science, page 473-483. Springer, (2018)Learning from Future: A Novel Self-Training Framework for Semantic Segmentation., , , , , , , , and . NeurIPS, (2022)