Classification Model Training Method and Apparatus

    公开(公告)号:US20200042829A1

    公开(公告)日:2020-02-06

    申请号:US16596938

    申请日:2019-10-09

    Abstract: A classification model training method includes obtaining a positive training set and a first negative training set, where the positive training set includes samples of a positive sample set in a corpus, where the first negative training set includes samples of an unlabeled sample set in the corpus, training, using the positive training set and the first negative training set, to obtain a first classification model, determining, using the first classification model, a pseudo negative sample in the first negative training set, removing the pseudo negative sample from the first negative training set, updating the first negative training set to a second negative training set, and training, using the positive training set and the second negative training set, to obtain a target classification model.

    Graph data query method and apparatus

    公开(公告)号:US10068033B2

    公开(公告)日:2018-09-04

    申请号:US15196802

    申请日:2016-06-29

    Abstract: A graph data query method and apparatus are disclosed, where the method includes: acquiring a partition number and a layer number of a query vertex; determining, based on the partition number and the layer number of the query vertex, a partition number and a layer number of a candidate vertex indicated by a query condition, and using the partition number and the layer number of the candidate vertex respectively as a candidate partition number and a candidate layer number; forming a candidate set using a vertex whose partition number and layer number satisfy any group of a candidate partition number and a candidate layer number; and performing graph data query in the candidate set according to the query condition.

    Method, apparatus, and system for mutual communication between processes of many-core processor

    公开(公告)号:US09678813B2

    公开(公告)日:2017-06-13

    申请号:US14725066

    申请日:2015-05-29

    CPC classification number: G06F9/546 G06F9/467 G06F9/54

    Abstract: A method, an apparatus, and a system for mutual communication between processes of a many-core processor are provided that relate to the field of many-core operating systems The method is executed by a target kernel, where the target kernel corresponds to a target processor core. The method includes acquiring a message header of a message from a quick message channel (QMC); executing a central processing unit (CPU) pre-fetching command according to the message header, so that a message body that is in the message stored in a shared memory and corresponds to the message header is loaded to a cache that corresponds to the target processor core; and switching to a target process, so that the target process acquires the message body from the cache. The embodiments of the present invention apply to a scenario of mutual communication between processes of a many-core processor.

    GRAPH DATA QUERY METHOD AND APPARATUS
    24.
    发明申请
    GRAPH DATA QUERY METHOD AND APPARATUS 审中-公开
    图形数据查询方法和装置

    公开(公告)号:US20160306897A1

    公开(公告)日:2016-10-20

    申请号:US15196802

    申请日:2016-06-29

    CPC classification number: G06F17/30958 G06F17/30486

    Abstract: A graph data query method and apparatus are disclosed, where the method includes: acquiring a partition number and a layer number of a query vertex; determining, based on the partition number and the layer number of the query vertex, a partition number and a layer number of a candidate vertex indicated by a query condition, and using the partition number and the layer number of the candidate vertex respectively as a candidate partition number and a candidate layer number; forming a candidate set using a vertex whose partition number and layer number satisfy any group of a candidate partition number and a candidate layer number; and performing graph data query in the candidate set according to the query condition.

    Abstract translation: 公开了一种图形数据查询方法和装置,其中所述方法包括:获取查询顶点的分区号和层号; 基于查询顶点的分区号和层号确定由查询条件指示的候选顶点的分区号和层编号,并分别使用候选顶点的分区号和层编号作为候选 分区号和候选层号; 使用其分区号和层号满足候选分区号和候选层号的任何组的顶点形成候选集; 并根据查询条件在候选集中执行图形数据查询。

    Method, Apparatus, and System for Mutual Communication Between Processes of Many-Core Processor
    25.
    发明申请
    Method, Apparatus, and System for Mutual Communication Between Processes of Many-Core Processor 有权
    多核处理器之间相互通信的方法,装置和系统

    公开(公告)号:US20150261588A1

    公开(公告)日:2015-09-17

    申请号:US14725066

    申请日:2015-05-29

    CPC classification number: G06F9/546 G06F9/467 G06F9/54

    Abstract: A method, an apparatus, and a system for mutual communication between processes of a many-core processor are provided that relate to the field of many-core operating systems The method is executed by a target kernel, where the target kernel corresponds to a target processor core. The method includes acquiring a message header of a message from a quick message channel (QMC); executing a central processing unit (CPU) pre-fetching command according to the message header, so that a message body that is in the message stored in a shared memory and corresponds to the message header is loaded to a cache that corresponds to the target processor core; and switching to a target process, so that the target process acquires the message body from the cache. The embodiments of the present invention apply to a scenario of mutual communication between processes of a many-core processor.

    Abstract translation: 提供了涉及多核操作系统的领域的多核处理器的处理之间的相互通信的方法,装置和系统。该方法由目标内核执行,其中目标内核对应于目标 处理器核心。 该方法包括从快速消息信道(QMC)获取消息报头; 根据消息头执行中央处理单元(CPU)预取命令,使得存储在共享存储器中并对应于消息头的消息中的消息正文被加载到与目标处理器对应的高速缓存 核心; 并切换到目标进程,使得目标进程从高速缓存获取消息主体。 本发明的实施例适用于多核处理器的处理之间的相互通信的场景。

    Platform, Method, and Device for Managing Application
    26.
    发明申请
    Platform, Method, and Device for Managing Application 审中-公开
    用于管理应用程序的平台,方法和设备

    公开(公告)号:US20140095355A1

    公开(公告)日:2014-04-03

    申请号:US14091738

    申请日:2013-11-27

    CPC classification number: G06Q30/0613 G06F8/61 G06Q30/04 G06Q30/06

    Abstract: The present invention discloses a platform, method, and device for managing an application, and belongs to the field of the Internet. The platform includes a mall and a store, where the mall includes: a management module configured to record and maintain information of an application store, application information, and user information; an application store creation module configured to create the application store according to store implementation logic, so that the application store presents an application according to the implementation logic; and a transaction management module configured to complete billing and charging of the application according to information maintained by the management module; and the store includes: a store interface management module configured to manage and present the application, so that the application is presented in a set presentation manner.

    Abstract translation: 本发明公开了一种用于管理应用的平台,方法和设备,属于因特网领域。 该平台包括购物中心和商店,商场包括:管理模块,被配置为记录和维护应用商店的信息,应用信息和用户信息; 应用程序存储创建模块,被配置为根据存储实现逻辑创建应用存储,使得应用存储根据实现逻辑呈现应用; 以及交易管理模块,被配置为根据由所述管理模块维护的信息来完成所述应用的计费和计费; 并且所述商店包括:配置为管理和呈现所述应用的商店界面管理模块,以使得以所述呈现方式呈现所述应用。

    Gesture recognition method, electronic device, computer-readable storage medium, and chip

    公开(公告)号:US12210687B2

    公开(公告)日:2025-01-28

    申请号:US17689630

    申请日:2022-03-08

    Abstract: The disclosure provides gesture recognition methods and apparatuses, and relate to the field of artificial intelligence. One example gesture recognition method includes obtaining an image stream, and determining, based on a plurality of consecutive frames of hand images in the image stream, whether a user makes a preparatory action. When the user makes the preparatory action, continuing to obtain an image stream, and determining a gesture action of the user based on a plurality of consecutive frames of hand images in the continuously obtained image stream. Next, further responding to the gesture action to implement gesture interaction with the user. In this application, in order to reduce the erroneous recognition occurring in a gesture recognition process, the preparatory action is determined before gesture recognition is performed.

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