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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Inf Process Med Imaging
Egile Nagusiak: Wachinger, Christian, Golland, Polina
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2015
Gaiak:
Sarrera elektronikoa: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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