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Manifold Modeling for Brain Population Analysis
This paper describes a method for building efficient representations of large sets of brain images. Our hypothesis is that the space spanned by a set of brain images can be captured, to a close approximation, by a low-dimensional, nonlinear manifold. This paper presents a method to learn such a low-...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2010
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3020141/ https://ncbi.nlm.nih.gov/pubmed/20579930 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2010.05.008 |
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