METHOD FOR TRAINING FEATURE QUANTIZATION MODEL, FEATURE QUANTIZATION METHOD, DATA QUERY METHODS AND ELECTRONIC DEVICES

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United States of America Patent

APP PUB NO 20230135021A1
SERIAL NO

17910651

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Abstract

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A method for training a feature quantization model includes: obtaining a plurality of source data domains; obtaining feature information and labeling information of each of the plurality of source data domains; decomposing the feature information of each of the plurality of source data domains, so as to obtain common feature information and domain-specific feature information of the plurality of source data domains, the common feature information being feature information common to the plurality of source data domains; and training a feature quantization model according to the common feature information of all the source data domains, and domain-specific feature information and the labeling information of each of the plurality of source data domains, so as to obtain a common feature quantization model.

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Patent Owner(s)

Patent OwnerAddress
BOE TECHNOLOGY GROUP CO LTD100016 NO 10 JIUXIANQIAO ROAD BEIJING CHAOYANG DISTRICT MUNICIPAL DISTRICT BEIJING CITY 100016
PEKING UNIVERSITY100871 PEKING UNIVERSITY 5 THE SUMMER PALACE ROAD BEIJING HAIDIAN DISTRICT MUNICIPAL DISTRICT BEIJING CITY 100871

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
FANG, Yigeng Beijing, CN 3 3
MU, Yadong Beijing, CN 33 175
TANG, Xiaojun Beijing, CN 58 260

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