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Data-Driven Computational Sensing
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Data-Driven Computational Sensing. |
| 개인저자 | Mousavi, Ali. |
| 단체저자명 | Rice University. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: Rice University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 202 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-03A. Dissertation Abstract International |
| ISBN | 9798535519692 |
| 학위논문주기 | Thesis (Ph.D.)--Rice University, 2018. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
Advisor: Baraniuk, Richard G. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Statistics. Computer science. Electrical engineering. Standard deviation. Simulation. Back propagation. Estimates. Experiments. Neural networks. Phase transitions. Design. Noise. Methods. Algorithms. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
