JP2017138966A5 - - Google Patents

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JP2017138966A5
JP2017138966A5 JP2016251097A JP2016251097A JP2017138966A5 JP 2017138966 A5 JP2017138966 A5 JP 2017138966A5 JP 2016251097 A JP2016251097 A JP 2016251097A JP 2016251097 A JP2016251097 A JP 2016251097A JP 2017138966 A5 JP2017138966 A5 JP 2017138966A5
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Japan
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sparse
sparse element
matrix
subset
unit
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JP2016251097A
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JP2017138966A (ja
JP6626433B2 (ja
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JP2016251097A 2016-02-05 2016-12-26 疎要素を密行列に変換するためのシステムおよび方法 Active JP6626433B2 (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/016,486 US9898441B2 (en) 2016-02-05 2016-02-05 Matrix processing apparatus
US15/016,486 2016-02-05

Related Child Applications (1)

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JP2019216610A Division JP7023917B2 (ja) 2016-02-05 2019-11-29 疎要素を密行列に変換するためのシステムおよび方法

Publications (3)

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JP2017138966A JP2017138966A (ja) 2017-08-10
JP2017138966A5 true JP2017138966A5 (OSRAM) 2017-10-26
JP6626433B2 JP6626433B2 (ja) 2019-12-25

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JP2016251097A Active JP6626433B2 (ja) 2016-02-05 2016-12-26 疎要素を密行列に変換するためのシステムおよび方法
JP2019216610A Active JP7023917B2 (ja) 2016-02-05 2019-11-29 疎要素を密行列に変換するためのシステムおよび方法

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US (2) US9898441B2 (OSRAM)
EP (1) EP3203381A1 (OSRAM)
JP (2) JP6626433B2 (OSRAM)
KR (2) KR101936396B1 (OSRAM)
CN (2) CN113254871B (OSRAM)
BR (1) BR102016031034A2 (OSRAM)
SG (1) SG10201610912UA (OSRAM)
TW (1) TWI661315B (OSRAM)

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KR102848548B1 (ko) * 2018-11-06 2025-08-25 한국전자통신연구원 딥러닝 모델 압축 및 압축 해제 방법 그리고 장치
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