您的位置: 首页 > 农业专利 > 详情页

NEURAL NETWORKS FOR BIOMETRIC RECOGNITION
专利权人:
Alibaba Group Holding Limited
发明人:
Vikas Gottemukkula
申请号:
US16183274
公开号:
US20200143137A1
申请日:
2018.11.07
申请国别(地区):
US
年份:
2020
代理人:
摘要:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an encoder neural network having multiple encoder neural network parameters. The encoder neural network is configured to process a biometric data sample in accordance with current values of encoder neural network parameters to generate as output an embedded representation of the biometric data sample. The embedded representation includes: (i) an inter-class embedded representation, and (ii) an intra-class embedded representation that is different than the inter-class embedded representation.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充