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Adaptive Computations and Model Structures in Object and Scene Understanding Systems
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Adaptive Computations and Model Structures in Object and Scene Understanding Systems. |
| 개인저자 | Lu, Yongxi. |
| 단체저자명 | University of California, San Diego. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: University of California, San Diego., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 170 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-02B. Dissertation Abstract International |
| ISBN | 9781085610131 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, San Diego, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
Advisor: Javidi, Tara. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | This thesis presents a set of novel algorithms that address practical limitations in existing object and scene understanding systems. These limitations include high computational demands of the systems, the lack of unified models that can model multiple tasks accurately in an efficient manner, and the high dependency on output labels which are in many cases difficult and expensive to collect. Our strategy is as follows: We first identify important and intuitive structures in the respective problems. Then, we analyze the existing architectures and introduce additional dimensions of variations in the computational and model structures. The proposed algorithms are more "adaptive'' than their respective baselines, in the sense that they can now use the new degrees of freedoms to address the limitations in the latter. These algorithms are practical because they demonstrate significant empirical successes in addressing the limitations of existing methods. They have pushed the state-of-the-art and inspired follow-up studies in designing better object and scene understanding systems for real-world challenges. |
| 일반주제명 | Artificial intelligence. Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
