Please use this identifier to cite or link to this item: https://doi.org/10.1109/TPAMI.2021.3114196
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dc.titleProgressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networ
dc.contributor.authorJIBIN WU
dc.contributor.authorXU CHENGLIN
dc.contributor.authorHAN XIAO
dc.contributor.authorZHOU DAQUAN
dc.contributor.authorLi, H.
dc.contributor.authorTan Kay Chen
dc.date.accessioned2022-04-11T09:12:55Z
dc.date.available2022-04-11T09:12:55Z
dc.date.issued2021-09-21
dc.identifier.citationJIBIN WU, XU CHENGLIN, HAN XIAO, ZHOU DAQUAN, Li, H., Tan Kay Chen (2021-09-21). Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networ. IEEE Transactions on Pattern Analysis and Machine Intelligence. ScholarBank@NUS Repository. https://doi.org/10.1109/TPAMI.2021.3114196
dc.identifier.issn0162-8828
dc.identifier.issn1939-3539
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/218917
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.1109/TPAMI.2021.3114196
dc.description.sourcetitleIEEE Transactions on Pattern Analysis and Machine Intelligence
dc.published.statePublished
dc.grant.idI2001E0053
dc.grant.fundingagencythe IAF, A*STAR, SOITEC, NXP and National University of Singapore under FD-fAbrICS: Joint Lab for FD-SOI Always-on Intelligent Connected Systems (Award I2001E0053)
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