Latent Factor Analysis of High-Dimensional Brain Imaging Data
Latent Factor Analysis of High-Dimensional Brain Imaging Data
- Material Type
- 단행본
- ISBN
- 9798534651423
- DDC
- 616
- Author
- Gao, Siyuan.
- Title/Author
- Latent Factor Analysis of High-Dimensional Brain Imaging Data
- Publish Info
- [Sl] : Yale University, 2021
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Material Info
- 115 p
- General Note
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- General Note
- Advisor: Scheinost, Dustin.
- 학위논문주기
- Thesis (Ph.D.)--Yale University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Neurosciences
- Subject Added Entry-Topical Term
- Mathematics
- Subject Added Entry-Topical Term
- Computer science
- Subject Added Entry-Topical Term
- Medical imaging
- Subject Added Entry-Topical Term
- Behavior
- Subject Added Entry-Topical Term
- Accuracy
- Subject Added Entry-Topical Term
- Principal components analysis
- Subject Added Entry-Topical Term
- Datasets
- Subject Added Entry-Topical Term
- Memory
- Subject Added Entry-Topical Term
- Brain research
- Subject Added Entry-Topical Term
- Flexibility
- Subject Added Entry-Topical Term
- Methods
- Subject Added Entry-Topical Term
- Correlation analysis
- Subject Added Entry-Topical Term
- Algorithms
- Subject Added Entry-Topical Term
- Clustering
- Subject Added Entry-Topical Term
- Time series
- Subject Added Entry-Topical Term
- Intelligence
- Index Term-Uncontrolled
- Functional magnetic resonance imaging
- Index Term-Uncontrolled
- Functional connectivity
- Index Term-Uncontrolled
- Low-dimensional representation
- Index Term-Uncontrolled
- Prediction
- Added Entry-Corporate Name
- Yale University Biomedical Engineering
- Host Item Entry
- Dissertations Abstracts International. 83-02B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인 후 원문을 볼 수 있습니다.
- 소장사항
-
202202 2022
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