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Learning Perceptual Similarity from Crowds and Machines
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Wilber, Michael James. |
| 단체저자명 | Cornell University. Computer Science. |
| 서명/저자사항 | Learning Perceptual Similarity from Crowds and Machines. |
| 발행사항 | [S.l.] : Cornell University., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 93 p. |
| 소장본 주기 | School code: 0058. |
| ISBN | 9780438027343 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Serge J. Belongie. |
| 요약 | How might we teach machine learning systems about what wine tastes like, or how to appreciate the similarities in different kinds of artwork? |
| 요약 | On its face, this question seems absurd because these notions of similarity are impossible to characterize in meaningful ways. Our work explores what happens when we can embrace this ambiguity. We use new kinds of semi-supervision to learn abstr |
| 요약 | Before we can learn about perceptual similarity, we must first show how to capture intuitive notions of similarity from humans in an efficient and principled way that makes as few assumptions as possible about the data structure. Then, we outlin |
| 일반주제명 | Computer science. Artificial intelligence. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998389 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00027826 | 004 | 가야대학교// | 대출가능 |
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