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3D Shape Segmentation Based on Viewpoint Entropy and Projective Fully Convolutional Networks Fusing Multi-view Features.

, , , , , , and . ICPR, page 1056-1061. IEEE Computer Society, (2018)

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Runtime monitoring of web service conversations., , , , , and . CASCON, page 2-17. IBM / ACM, (2017)3D Shape Segmentation Based on Viewpoint Entropy and Projective Fully Convolutional Networks Fusing Multi-view Features., , , , , , and . ICPR, page 1056-1061. IEEE Computer Society, (2018)Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products., , , and . CoRR, (2023)Nuances in Margin Conditions Determine Gains in Active Learning., , and . CoRR, (2021)Progressive Scene Segmentation Based on Self-Attention Mechanism., , , and . ICPR, page 3985-3992. IEEE, (2020)Nuances in Margin Conditions Determine Gains in Active Learning., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 8112-8126. PMLR, (2022)Mining temporal data sets: hypoplastic left heart syndrome case study., , , , , , and . Data Mining and Knowledge Discovery: Theory, Tools, and Technology, volume 5098 of SPIE Proceedings, page 193-201. SPIE, (2003)Qualitative photo collage by quartet analysis and active learning., , , and . Comput. Graph., (2020)Corrigendum to "3D shape segmentation via shape fully convolutional networks" Computers & Graphics 70 (2018) 128-139., , , , , , and . Comput. Graph., (2018)Runtime Monitoring of Web Service Conversations., , , , , , and . IEEE Trans. Serv. Comput., 2 (3): 223-244 (2009)