| LDR | | 01667nam u200421 4500 |
| 001 | | 000000421054 |
| 005 | | 20190215165013 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438037113 |
| 035 | |
▼a (MiAaPQ)AAI10808343 |
| 035 | |
▼a (MiAaPQ)upenngdas:13234 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 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
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |