IMAGE DATA CLASSIFICATION METHOD, DEVICE AND SYSTEM

    公开(公告)号:US20220092359A1

    公开(公告)日:2022-03-24

    申请号:US17477070

    申请日:2021-09-16

    Abstract: The present disclosure relates to an image data classification method, device and system, and relates to the field of computer technology. The method includes: inputting test image data into a neural network model trained by using an original training sample set for classification, and determining an image type to which the test image data belongs and a membership probability of the image data belonging to the image type; establishing an easy-to-classify data set, according to test image data with a membership probability greater than a first threshold; adding test image data in the easy-to-classify data set that has a classification accuracy rate less than or equal to a second threshold and a correct classification result to the original training sample set to generate an augmented training sample set; and using the augmented training sample set to train the neural network model so as to determine an image class

    DATA PROCESSING METHOD AND DATA PROCESSING APPARATUS

    公开(公告)号:US20240193460A1

    公开(公告)日:2024-06-13

    申请号:US17908478

    申请日:2021-05-31

    CPC classification number: G06N20/00

    Abstract: A data processing method, includes: obtaining sample data in response to a user's input operation on a graphical interface, the sample data including characteristic data and detection data of samples; displaying a sample distribution diagram on the graphical interface based on the sample data; obtaining a focus threshold used for classifying positive and negative samples, the focus threshold being determined based on the detection data of the samples; displaying a mark of the focus threshold in the sample distribution diagram on the graphical interface; distinguishing data display effects of the positive and negative samples based on the focus threshold; and determining a cause of abnormality of the samples based on the positive and negative samples.

    QUESTION RECOMMENDATION METHOD, DEVICE AND SYSTEM, ELECTRONIC DEVICE, AND READABLE STORAGE MEDIUM

    公开(公告)号:US20220198300A1

    公开(公告)日:2022-06-23

    申请号:US17281310

    申请日:2020-05-29

    Abstract: A question recommendation method, a device, a system, an electronic device, and a non-volatile readable storage medium are provided. The question recommendation method includes: obtaining a candidate question set of a user, the candidate question set including a plurality of candidate questions; obtaining user behavior data, and obtaining a user interest parameter based on the user behavior data; based on the user interest parameter and the plurality of candidate questions, obtaining at least one similarity feature between each candidate question of the plurality of candidate questions and the user interest parameter; based on basic user information, the plurality of candidate questions, and the at least one similarity feature, sorting the plurality of candidate questions to obtain a question sequence; and based on an order of the question sequence, recommending at least one candidate question in the question sequence to the user.

    DATA PROCESSING METHODS AND APPARATUSES, ELECTRONIC DEVICE AND STORAGFE MEDIUM

    公开(公告)号:US20250086652A1

    公开(公告)日:2025-03-13

    申请号:US17764863

    申请日:2021-03-26

    Abstract: The present disclosure provides data processing methods and apparatuses, an electronic device and a storage medium. The method includes: obtaining a product sample set; obtaining combination features in specified dimensions of the product sample set by processing a second parameter based on a preset dimension reduction algorithm; obtaining influence scores respectively for the combination features in specified dimensions based on a first parameter and the combination features in specified dimensions; obtaining at least one combination feature ranked top by sorting the combination features based on the influence scores, and taking a raw parameter corresponding to the at least one combination feature as a cause of the product defect. In the embodiments of the present disclosure, combination features in R dimensions may be a combination of raw parameters having similarity such that similar parameters are associated while raw information of the product samples is retained, thus helping fast locating the cause of the product defect, and improving the detection efficiency.

    TASK PROCESSING METHOD BASED ON DEFECT DETECTION, DEVICE, APPARATUS AND STORAGE MEDIUM

    公开(公告)号:US20230030296A1

    公开(公告)日:2023-02-02

    申请号:US17429013

    申请日:2020-10-30

    Abstract: The present disclosure relates to a task processing method and device based on defect detection, a computer readable storage medium, and a task processing apparatus . The method includes receiving a detection task; determining a task type of the detection task; storing the detection task in a task queue if the task type is a target task type; and executing the detection task in a preset order and generating a feedback signal when a processor is idle. The detection task of the target task type includes an inference task and a training task. Executing the training task includes modifying configuration information according to a preset rule based on product information in the detection task; acquiring training data and an initial model according to the product information; and using the training data to train the initial model according to the configuration information to obtain a target model and store it in memory.

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