公开(公告)号：US11816117B2

公开(公告)日：2023-11-14

申请号：US17190188

申请日：2021-03-02

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zheng Wang ,  Zhangyun Zhao ,  Rongrong Fu

IPC: G06F16/22 ,  G06F16/2458 ,  G06F16/28 ,  G06V10/74 ,  G06V20/54

CPC classification number: G06F16/2468 ,  G06F16/22 ,  G06F16/285 ,  G06V10/761 ,  G06V20/54

Abstract: In a data preparation process, raw data in a database is classified into first-type data and second-type data. In a data retrieval process, a first retrieval range is determined in the first-type data, and to-be-retrieved data is retrieved in the first retrieval range, to obtain a first retrieval result; the to-be-retrieved data is retrieved from all of the second-type data, to obtain a second retrieval result; and finally, a final retrieval result is determined from the first retrieval result and the second retrieval result.

公开(公告)号：US20210182318A1

公开(公告)日：2021-06-17

申请号：US17190188

申请日：2021-03-02

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zheng Wang ,  Zhangyun Zhao ,  Rongrong Fu

IPC: G06F16/28 ,  G06F16/22

Abstract: In a data preparation process, raw data in a database is classified into first-type data and second-type data. In a data retrieval process, a first retrieval range is determined in the first-type data, and to-be-retrieved data is retrieved in the first retrieval range, to obtain a first retrieval result; the to-be-retrieved data is retrieved from all of the second-type data, to obtain a second retrieval result; and finally, a final retrieval result is determined from the first retrieval result and the second retrieval result.

公开(公告)号：US20240273364A1

公开(公告)日：2024-08-15

申请号：US18586400

申请日：2024-02-23

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Rongrong Fu ,  Xiaoxin Xu ,  Quanchong Huang

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: In a data processing method, when performing iterative training on a first neural network deployed on a first edge device, a cloud-side device obtains a first training set based on an application scenario feature of data collected by the first edge device. The first training set includes the data of the first edge device and sample data associated with the application scenario feature. The cloud-side device obtains a trained first neural network based on the first training set and the first neural network deployed on the first edge device. The cloud-side device then deploys the trained first neural network on the first edge device.