| LDR | | 01591nmm uu200421 4500 |
| 001 | | 000000332834 |
| 005 | | 20240805171656 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438037113 |
| 035 | |
▼a (MiAaPQ)AAI10808343 |
| 035 | |
▼a (MiAaPQ)upenngdas:13234 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 616 |
| 100 | 1 |
▼a Jaegle, Andrew. |
| 245 | 10 |
▼a Learning, Moving, and Predicting with Global Motion Representations. |
| 260 | |
▼a [S.l.] :
▼b University of Pennsylvania.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 135 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Kostas Daniilidis. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Pennsylvania, 2018. |
| 520 | |
▼a In order to effectively respond to and influence the world they inhabit, animals and other intelligent agents must understand and predict the state of the world and its dynamics. An agent that can characterize how the world moves is better equip |
| 590 | |
▼a School code: 0175. |
| 650 | 4 |
▼a Neurosciences. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Artificial intelligence. |
| 690 | |
▼a 0317 |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0800 |
| 710 | 20 |
▼a University of Pennsylvania.
▼b Neuroscience. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0175 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997809
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |