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Information Geometry and Dimensionality Reduction
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Kong, Chi. |
| 단체저자명 | State University of New York at Stony Brook. Applied Mathematics and Statistics. |
| 서명/저자사항 | Information Geometry and Dimensionality Reduction. |
| 발행사항 | [S.l.] : State University of New York at Stony Brook., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 125 p. |
| 소장본 주기 | School code: 0771. |
| ISBN | 9780438208834 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Andrew P. Mullhaupt. |
| 요약 | In the context of information geometry, the framework of differential geometry is applied to probability theory. It has a wide range of applications not limited to statistical inference, including image and signal processing, statistical learnin |
| 요약 | To summarize our main contributions: 1) We generalize information distance to MIMO LTI systems. When cepstrum are used as coordinates of the manifold, the geometry becomes Euclidean with nice theoretical and computational properties. 2) We devel |
| 일반주제명 | Applied mathematics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14996835 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00024411 | 519 | 가야대학교// | 대출가능 |
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