公开(公告)号：US20220107736A1

公开(公告)日：2022-04-07

申请号：US17505853

申请日：2021-10-20

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Shiyue ZHUANG ,  Yulei XIAO ,  Dandan TU

IPC: G06F3/06 ,  G06F16/182 ,  G06F16/00 ,  G06F11/10

Abstract: An adaptive file storage method and apparatus is disclosed. The method includes determining a cold and hot attribute of a file, and performing coding storage processing or transcoding storage processing on the file according to the cold and hot attribute of the file. Therefore, a requirement of the cold and hot attribute of the file for storage overheads and restoration costs can be fully considered. In addition, the used coding technology has high reliability and a high coding speed. Therefore, comprehensive performance in multiple dimensions of storage overheads, restoration costs, reliability, and an coding speed can be improved.

公开(公告)号：US20190279088A1

公开(公告)日：2019-09-12

申请号：US16424760

申请日：2019-05-29

Applicant: Huawei Technologies Co., Ltd.

Inventor： Changzheng ZHANG ,  Xiaolong BAI ,  Dandan TU

IPC: G06N3/08 ,  G06N3/04

Abstract: A method for training a neural network model are disclosed. Each training period includes K iterations, and for an ith iteration of one of N worker modules within each training period, each worker module performs in parallel the following steps: calculating a model parameter of an (i+1)th iteration based on a local gradient of the ith iteration and a model parameter of the ith iteration, and if i is less than K, calculating a local gradient of the (i+1)th iteration based on the model parameter of the (i+1)th iteration and sample data of the (i+1)th iteration; and pulling, by the worker module, a global gradient of an rth iteration from a server module and/or pushing, by the worker module, a local gradient of an fth iteration to the server module. In this way, time windows of a calculation process and a communication process overlap, thereby reducing time delay.

公开(公告)号：US20240013098A1

公开(公告)日：2024-01-11

申请号：US18370524

申请日：2023-09-20

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Changzheng ZHANG ,  Xiaolong BAI ,  Dandan TU

IPC: G06N20/00 ,  G06F17/16 ,  G06N7/00

CPC classification number: G06N20/00 ,  G06F17/16 ,  G06N7/00 ,  G06N3/08

Abstract: Embodiments of the present invention disclose a data processing apparatus. The apparatus is configured to: after calculating a set of gradient information of each parameter by using a sample data subset, delete the sample data subset, read a next sample data subset, calculate another set of gradient information of each parameter by using the next sample data subset, and accumulate a plurality of sets of calculated gradient information of each parameter, to obtain an update gradient of each parameter.

公开(公告)号：US20220156931A1

公开(公告)日：2022-05-19

申请号：US17590005

申请日：2022-02-01

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yaoxin LI ,  Changzheng ZHANG ,  Xiaoshi CHEN ,  Dandan TU

IPC: G06T7/00 ,  G06T7/11 ,  G06V10/764 ,  G06T7/70 ,  G06V10/774 ,  G06V10/80 ,  G06V10/20 ,  G16H30/40 ,  G16H50/20

Abstract: This application relates to the artificial intelligence field, and provides an image processing method, an apparatus, and a system. The image processing method includes: obtaining a plurality of image blocks by segmenting a to-be-analyzed pathological image; inputting the plurality of image blocks to a first analysis model to obtain a first analysis result, where the first analysis model classifies each of the plurality of image blocks based on a quantity or an area of suspicious lesion components; inputting at least one second-type image block in the first analysis result to a second analysis model to obtain a second analysis result, where the second analysis model analyzes a location of a suspicious lesion component of each input second-type image block; and obtaining a final analysis result of the pathological image based on the first analysis result and the second analysis result.

公开(公告)号：US20210326634A1

公开(公告)日：2021-10-21

申请号：US17365089

申请日：2021-07-01

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Pengpeng ZHENG ,  Jiahao LI ,  Xin JIN ,  Dandan TU

IPC: G06K9/46 ,  G06K9/32 ,  G06F16/587 ,  G06N3/04 ,  G06F16/583

Abstract: An image analysis method, including: obtaining influencing factors of t frames of images, where the influencing factors include self-owned features of h target subjects in each of the t frames of images and relational vector features between the h target subjects in each of the t frames of images, self-owned features of each target subject include a location feature, an attribute feature, and a posture feature, and t and h are natural numbers greater than 1; and obtaining a panoramic semantic description based on the influencing factors, where the panoramic semantic description includes a description of relationships between target subjects, relationships between actions of the target subjects and the target subjects, and relationships between the actions of the target subjects.

公开(公告)号：US20210295114A1

公开(公告)日：2021-09-23

申请号：US17335261

申请日：2021-06-01

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yibin YE ,  Shenggao ZHU ,  Jing WANG ,  Qi DU ,  Hui LIANG ,  Dandan TU

IPC: G06K9/62 ,  G06F16/583 ,  G06N3/04 ,  G06F16/38

Abstract: A method for extracting structured data from an image is provided. The method includes: obtaining a first information set and a second information set in the image by using an image text extraction model, where the image includes at least one piece of structured data; obtaining at least one text subimage in the image based on at least one piece of first information included in the first information set; identifying text information in the at least one text subimage; and obtaining at least one piece of structured data in the image based on the text information in the at least one text subimage and at least one piece of second information included in the second information set. By using the image text extraction model and a text identification model, structured data extraction efficiency and accuracy are improved.

公开(公告)号：US20190287022A1

公开(公告)日：2019-09-19

申请号：US16432617

申请日：2019-06-05

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Changzheng ZHANG ,  Xiaolong BAI ,  Dandan TU

IPC: G06N20/00 ,  G06F17/16

Abstract: Embodiments of the present invention disclose a data processing apparatus. The apparatus is configured to: after calculating a set of gradient information of each parameter by using a sample data subset, delete the sample data subset, read a next sample data subset, calculate another set of gradient information of each parameter by using the next sample data subset, and accumulate a plurality of sets of calculated gradient information of each parameter, to obtain an update gradient of each parameter.

公开(公告)号：US20180239549A1

公开(公告)日：2018-08-23

申请号：US15960292

申请日：2018-04-23

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Shiyue ZHANG ,  Yulei XIAO ,  Dandan TU

IPC: G06F3/06 ,  G06F17/30

CPC classification number: G06F3/0619 ,  G06F3/0613 ,  G06F3/0626 ,  G06F11/1076 ,  G06F16/00 ,  G06F16/1824

Abstract: An adaptive file storage method and apparatus is disclosed. The method includes determining a cold and hot attribute of a file, and performing coding storage processing or transcoding storage processing on the file according to the cold and hot attribute of the file. Therefore, a requirement of the cold and hot attribute of the file for storage overheads and restoration costs can be fully considered. In addition, the used coding technology has high reliability and a high coding speed. Therefore, comprehensive performance in multiple dimensions of storage overheads, restoration costs, reliability, and an coding speed can be improved.