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Fang, Kun, Liu, Fanghui, Huang, Xiaolin, Yang, Jie (2023) End-to-end kernel learning via generative random Fourier features. Pattern Recognition, 134. 109057 doi:10.1016/j.patcog.2022.109057

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Reference TypeJournal (article/letter/editorial)
TitleEnd-to-end kernel learning via generative random Fourier features
JournalPattern Recognition
AuthorsFang, KunAuthor
Liu, FanghuiAuthor
Huang, XiaolinAuthor
Yang, JieAuthor
Year2023 (February)Volume134
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2022.109057Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15466125Long-form Identifiermindat:1:5:15466125:0
GUID0
Full ReferenceFang, Kun, Liu, Fanghui, Huang, Xiaolin, Yang, Jie (2023) End-to-end kernel learning via generative random Fourier features. Pattern Recognition, 134. 109057 doi:10.1016/j.patcog.2022.109057
Plain TextFang, Kun, Liu, Fanghui, Huang, Xiaolin, Yang, Jie (2023) End-to-end kernel learning via generative random Fourier features. Pattern Recognition, 134. 109057 doi:10.1016/j.patcog.2022.109057
In(2023) Pattern Recognition Vol. 134. Elsevier BV

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