From post

Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections.

, , , и . MICCAI (1), том 7510 из Lecture Notes in Computer Science, стр. 323-330. Springer, (2012)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 9733-9742. PMLR, (2020)Avoiding Boosting Overfitting by Removing Confusing Samples., и . ECML, том 4701 из Lecture Notes in Computer Science, стр. 430-441. Springer, (2007)Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot., , , , , , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 6187-6199. PMLR, (2021)Weakly supervised semantic segmentation with a multi-image model., , и . ICCV, стр. 643-650. IEEE Computer Society, (2011)A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings., , , , , и . CoRR, (2021)Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition., , , , и . AAMAS, стр. 2827-2829. ACM, (2023)FeUdal Networks for Hierarchical Reinforcement Learning., , , , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 3540-3549. PMLR, (2017)