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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, MI, IE, SIP 2018-05-18
16:15
Gifu   Effects on Classification Performance of Time Windows in Feature Extraction Using Denoising Autoencoders for Activity Recognition from Acceleration Data
Satoko Sugai, Toru Takeyama, Kiyoshi Kogure (KIT) SIP2018-18 IE2018-18 PRMU2018-18 MI2018-18
We have experimentally evaluated the effects on classification accuracy of time windows in feature extraction using deno... [more] SIP2018-18 IE2018-18 PRMU2018-18 MI2018-18
pp.81-85
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-16
09:45
Tokyo   Feature Extraction Using Denoising Autoencoders for Activity Recognition from Acceleration Data
Toru Takeyama, Kiyoshi Kogure (KIT) PRMU2017-58 IBISML2017-30
We have experimentally evaluated how the performance of activity recognition from acceleration data depends on the way o... [more] PRMU2017-58 IBISML2017-30
pp.161-166
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