Convergence, Continuity and Recurrence in Dynamic Epistemic Logic
专题命中 VLA模型 :action model(abstract);分类 cs.AI
Comments As appearing in "Logic, Rationality, and Interaction (LORI 2017, Sapporo, Japan)", LNCS, Springer 2017
视觉与机器人
视觉-语言-动作模型、机器人基础模型和语言条件机器人控制。
专题命中 VLA模型 :action model(abstract);分类 cs.AI
Comments As appearing in "Logic, Rationality, and Interaction (LORI 2017, Sapporo, Japan)", LNCS, Springer 2017
专题命中 VLA模型 :action model(abstract);分类 cs.CV
Comments camera ready for CVPR2017
专题命中 VLA模型 :action model(abstract);分类 cs.CV
专题命中 VLA模型 :action model(abstract);分类 cs.CV
Comments 33 pages, 9 figures, to appear in CVIU
专题命中 VLA模型 :action model(abstract);分类 cs.CV
专题命中 VLA模型 :action model(abstract);分类 cs.CV
Comments camera-ready version to appear in CVPR2017
专题命中 VLA模型 :action model(abstract);分类 cs.RO
Comments Accepted at ICRA 2017
专题命中 VLA模型 :action model(abstract);分类 cs.CV
Comments 14 pages. An extension of submission at https://arxiv.org/abs/1608.00859
专题命中 VLA模型 :action model(abstract);分类 cs.AI
专题命中 VLA模型 :action model(abstract);分类 cs.CV
专题命中 VLA模型 :action model(abstract);分类 cs.AI
专题命中 VLA模型 :action model(abstract);分类 cs.CV
Comments Citation for this paper: Shangxuan Wu, Ying-Cong Chen, Xiang Li, An-Cong Wu, Jin-Jie You, and Wei-Shi Zheng. An Enhanced Deep Feature Representation for Person Re-identification. In IEEE WACV, 2016
专题命中 VLA模型 :action model(abstract);分类 cs.LG
Comments 18 pages, 4 figures, 2 tables, WUPES'15
专题命中 VLA模型 :action model(abstract);分类 cs.CV
专题命中 VLA模型 :action model(abstract);分类 cs.CV
专题命中 VLA模型 :action model(abstract);分类 cs.CV
Comments This manuscript has 10 pages with 7 figures, and a preliminary version was published in ACM MM'13
专题命中 VLA模型 :action model(abstract);分类 cs.AI
专题命中 VLA模型 :action model(abstract);分类 cs.CV
专题命中 VLA模型 :action model(abstract);分类 cs.AI
专题命中 VLA模型 :action model(abstract);分类 cs.AI
Comments In Proceedings UITP 2012, arXiv:1307.1528
Journal ref EPTCS 118, 2013, pp. 57-71
专题命中 VLA模型 :action model(abstract);分类 cs.AI
Comments Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)
专题命中 VLA模型 :action model(abstract);分类 cs.AI
专题命中 VLA模型 :action model(abstract);分类 cs.AI
专题命中 VLA模型 :action model(abstract);分类 cs.AI
Journal ref Journal Of Artificial Intelligence Research, Volume 27, pages 235-297, 2006
de Sitter空间中协变观察者的代数
专题命中 VLA模型 :action model(abstract,comments)
AI总结 本文提出一种在de Sitter空间中协变观察者的代数框架,通过考虑波动的静态补丁内所有自由度,推广了局部代数的概念,并展示了其在量子引力中的应用。
Comments 37 pages, 2 figures. Any comments are welcomed. v2: Significant revisions on arguments, conclusion unchanged. An action model for covariant observer added. v3: Version submitted to JHEP. Clarifications and references added
专题命中 VLA模型 :VLA(abstract,comments)
Comments 17 pages, accepted for publication in Astronomy and Astrophysics. Revised version after including the referee's comments. The VLA radio images underlying this article are available at https://doi.org/10.25405/data.ncl.30344950
专题命中 VLA模型 :VLA(abstract,comments)
Comments 7 pages, 9 figures; received 2022 May 13 as ngVLA Memo # 97 for consideration by the VLA/VLBA to ngVLA Transition Advisory Group
专题命中 VLA模型 :VLA(abstract,comments)
Comments 30 pages, 5 figures; accepted by ApJ 6 March 2019. Offset to VLA-1 in Table 1 corrected
专题命中 VLA模型 :VLA(abstract,comments)
Comments 18 pages; Next Generation VLA Memo No. 78; https://ngvla.nrao.edu/page/memos#gen-memo
专题命中 VLA模型 :VLA(abstract,comments)
Comments To be published in the ASP Monograph Series, "Science with a Next-Generation VLA", ed. E. J. Murphy (ASP, San Francisco, CA)