Method and apparatus for processing information

    公开(公告)号:US11232140B2

    公开(公告)日:2022-01-25

    申请号:US16054920

    申请日:2018-08-03

    Abstract: Embodiments of the present disclosure disclose a method and apparatus for processing information. A specific implementation of the method includes: acquiring a search result set related to a search statement inputted by a user; parsing the search statement to generate a first syntax tree, and parsing a search result in the search result set to generate a second syntax tree set; calculating a similarity between the search statement and the search result in the search result set using a pre-trained semantic matching model on the basis of the first syntax tree and the second syntax tree set, the semantic matching model being used to determine the similarity between the syntax trees; and sorting the search result in the search result set on the basis of the similarity between the search statement and the search result in the search result set, and pushing the sorted search result set to the user.

    ACTIVE INTERACTION METHOD, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

    公开(公告)号:US20220019847A1

    公开(公告)日:2022-01-20

    申请号:US17237978

    申请日:2021-04-22

    Abstract: An active interaction method, an electronic device and a readable storage medium, relating to the field of deep learning and image processing technologies, are disclosed. According to an embodiment, the active interaction method includes: acquiring a video shot in real time; extracting a visual target from each image frame of the video, and generating a first feature vector of each visual target; for each image frame of the video, fusing the first feature vector of each visual target and identification information of the image frame to which the visual target belongs to generate a second feature vector of each visual target; aggregating the second feature vectors with the same identification information respectively to generate a third feature vector corresponding to each image frame; and initiating active interaction in response to determining that the active interaction is to be performed according to the third feature vector of a preset image frame.

    Distributed Training Method and System, Device and Storage Medium

    公开(公告)号:US20210406767A1

    公开(公告)日:2021-12-30

    申请号:US17142822

    申请日:2021-01-06

    Abstract: The present application discloses a distributed training method and system, a device and a storage medium, and relates to technical fields of deep learning and cloud computing. The method includes: sending, by a task information server, a first training request and information of an available first computing server to at least a first data server; sending, by the first data server, a first batch of training data to the first computing server, according to the first training request; performing, by the first computing server, model training according to the first batch of training data, sending model parameters to the first data server so as to be stored after the training is completed, and sending identification information of the first batch of training data to the task information server so as to be recorded; wherein the model parameters are not stored at any one of the computing servers.

    TARGET DETECTION
    137.
    发明申请

    公开(公告)号:US20210406616A1

    公开(公告)日:2021-12-30

    申请号:US17039554

    申请日:2020-09-30

    Abstract: A target detection method a is provided, which relates to the fields of deep learning, computer vision, and artificial intelligence. The method comprises: classifying, by using a first classification model, a plurality of image patches comprised in an input image, to obtain one or more candidate image patches, in the plurality of image patches, that are preliminarily classified as comprising a target; extracting a corresponding salience area for each candidate image patch; constructing a corresponding target feature vector for each candidate image patch based on the corresponding salience area for each candidate image patch; and classifying, by using a second classification model, the target feature vector to determine whether each candidate image patch comprises the target.

    IMAGE CLASSIFICATION METHOD AND APPARATUS, AND STYLE TRANSFER MODEL TRAINING METHOD AND APPARATUS

    公开(公告)号:US20210406586A1

    公开(公告)日:2021-12-30

    申请号:US17139069

    申请日:2020-12-31

    Abstract: An image classification method and apparatus, and a style transfer model training method and apparatus are provided, which are relate to the field of deep learning, cloud computing and computer vision in artificial intelligence. The image classification method comprises: inputting an image of a first style into a style transfer model, to obtain an image of a second style corresponding to the image of the first style; and inputting the image of the second style into an image classification model, to obtain a classification result of the image of the second style, wherein the style transfer model is obtained through training on the basis of a sample image of the first style and a sample image of the second style; and the image classification model is obtained through training on the basis of the sample image of the second style.

    DATABASE-BASED MANAGEMENT METHOD, PLATFORM, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20210406275A1

    公开(公告)日:2021-12-30

    申请号:US17204804

    申请日:2021-03-17

    Abstract: The present disclosure provides a database-based management method, platform, electronic device and storage medium, which relates to the technical field of databases and may be used for a cloud computing scenario. A specific implementation solution is as follows: monitoring a plurality of nodes through which an application accesses a corresponding database cluster based on pre-built management information of the corresponding database cluster of the application; when an abnormal node appears in the plurality of nodes, sending a node creation request carrying information of the abnormal node to a task management platform, to create an alternative node with the same function to replace the abnormal node; receiving information of the created alternative node returned from the task management platform; updating the management information of the database cluster of the application based on the information of the alternative node and the information of the abnormal node. In the present disclosure, only one set of database management platform is needed no matter whether the architectures of database clusters corresponding to the applications are the same. The above solution can be used to manage all applications simultaneously and effectively improve the management efficiency of the databases.

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