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Sampling from Determinantal Point Processes for Scalable Manifold Learning
High computational costs of manifold learning prohibit its application for large datasets. A common strategy to overcome this problem is to perform dimensionality reduction on selected landmarks and to successively embed the entire dataset with the Nyström method. The two main challenges that arise...
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| Publicado no: | Inf Process Med Imaging |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4524741/ https://ncbi.nlm.nih.gov/pubmed/26221713 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-19992-4_54 |
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