DSpace at KOASAS
College of Liberal Arts and Convergence Science(인문사회융합과학대학)Graduate School of Culture Technology(문화기술대학원)GCT-Conference Papers(학술회의논문)

Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 345
  • Download : 0
Export
DC FieldValueLanguage
dc.contributor.authorLEE, JONGPILko
dc.contributor.authorNam, Juhanko
dc.date.accessioned2017-09-25T05:43:58Z-
dc.date.available2017-09-25T05:43:58Z-
dc.date.created2017-09-19-
dc.date.issued2017-08-11-
dc.identifier.citationMachine Learning for Music Discovery Workshop, International Conference on Machine Learning-
dc.identifier.urihttp://hdl.handle.net/10203/226066-
dc.languageEnglish-
dc.publisherInternational Machine Learning Society (IMLS)-
dc.titleMulti-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameMachine Learning for Music Discovery Workshop, International Conference on Machine Learning-
dc.identifier.conferencecountryAT-
dc.identifier.conferencelocationICC Sydney, Darling Harbour-
dc.contributor.localauthorNam, Juhan-
Appears in Collection
GCT-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

Display Simple Item Record

qr_code

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


rss_1.0 rss_2.0 atom_1.0