DC Field | Value | Language |
---|---|---|
dc.contributor.author | Noh, Yung-Kyun | ko |
dc.contributor.author | Sugiyama, Masashi | ko |
dc.contributor.author | Kim, Kee-Eung | ko |
dc.contributor.author | Park, Frank | ko |
dc.contributor.author | Lee, Daniel | ko |
dc.date.accessioned | 2017-11-21T03:02:18Z | - |
dc.date.available | 2017-11-21T03:02:18Z | - |
dc.date.created | 2017-11-14 | - |
dc.date.created | 2017-11-14 | - |
dc.date.created | 2017-11-14 | - |
dc.date.issued | 2017-12-04 | - |
dc.identifier.citation | Advances in Neural Information Processing Systems | - |
dc.identifier.uri | http://hdl.handle.net/10203/227084 | - |
dc.language | English | - |
dc.publisher | Neural Information Processing Systems Foundation | - |
dc.title | Generative Local Metric Learning for Kernel Regression | - |
dc.type | Conference | - |
dc.identifier.wosid | 000452649402049 | - |
dc.identifier.scopusid | 2-s2.0-85042676187 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | Advances in Neural Information Processing Systems | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Long Beach Convention Center, Long Beach | - |
dc.contributor.localauthor | Kim, Kee-Eung | - |
dc.contributor.nonIdAuthor | Noh, Yung-Kyun | - |
dc.contributor.nonIdAuthor | Sugiyama, Masashi | - |
dc.contributor.nonIdAuthor | Park, Frank | - |
dc.contributor.nonIdAuthor | Lee, Daniel | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.