Learning Names For RFID-Tagged Objects in Activity Videos

机译：活动视频中带有RFID标签的对象的学习名称

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We describe a method for determining the names of RFID-tagged objects in activity videos using descriptions which have been parsed to provide anaphoric reference resolution and ontological categorization.

机译：我们描述了一种使用描述来确定活动视频中带有RFID标签的对象的名称的方法，该描述已被解析以提供照应性参考分辨率和本体分类。

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《IAAI-12;Innovative applications of artificial intelligence conference;AAAI conference on artificial intelligence;Symposium on educational advances in artificial intelligence;AAAI-12;EAAI-12》|2012年|p.2449-2450|共2页
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Ian Perera; James F. Allen;
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中图分类人工智能理论;人工智能理论;
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1. Learning human activities and object affordances from RGB-D videos [J] . Hema Swetha Koppula, Rudhir Gupta, Ashutosh Saxena The International journal of robotics research . 2013,第8期

机译：从RGB-D视频中学习人类活动和物体承受能力
2. Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos [J] . Xiong Bo, Jain Suyog Dutt, Grauman Kristen IEEE Transactions on Pattern Analysis and Machine Intelligence . 2019,第11期

机译：像素客观性：学习如何在图像和视频中自动分割通用对象
3. Semantic annotation of video fragments as learning objects: a case study with You Tube videos and the Gene Ontology [J] . Elena Garcia-Barriocanal, Miguel-Angel Sicilia, Salvador Sanchez-Alonso, Interactive Learning Environments . 2011,第1期

机译：视频片段作为学习对象的语义注释：You Tube视频和Gene Ontology的案例研究
4. Learning Names For RFID-Tagged Objects in Activity Videos [C] . Ian Perera, James F. Allen Innovative applications of artificial intelligence conference . 2012

机译：在活动视频中的RFID标记对象的学习名称
5. Machine Learning for Neural Activity Video Analysis and for Object Tracking in Video [D] . Song, Yilin. 2018

机译：机器学习用于神经活动视频分析和视频中的对象跟踪
6. Unsupervised learning is crucial to learning the names of objects [O] . Timothy P Lillicrap, Blake A Richards, Stephen H Scott 2007

机译：无监督学习对于学习对象名称至关重要
7. Learning human activities and object affordances from rgb-d videos [O] . Rudhir Gupta, Ashutosh Saxena 2016

机译：从rgb-d视频学习人类活动和对象支持

Learning Names For RFID-Tagged Objects in Activity Videos

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