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    3D convolutional neural networks for automatic human action recognition
    31.
    发明授权
    3D convolutional neural networks for automatic human action recognition 有权
    3D卷积神经网络，用于自动人体行动识别

    公开(公告)号：US08345984B2

    公开(公告)日：2013-01-01

    申请号：US12814328

    申请日：2010-06-11

    Applicant: Shuiwang Ji ,  Wei Xu ,  Ming Yang ,  Kai Yu

    Inventor： Shuiwang Ji ,  Wei Xu ,  Ming Yang ,  Kai Yu

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/64

    CPC classification number: G06K9/00335 ,  G06K9/4628

    Abstract: Systems and methods are disclosed to recognize human action from one or more video frames by performing 3D convolutions to capture motion information encoded in multiple adjacent frames and extracting features from spatial and temporal dimensions therefrom; generating multiple channels of information from the video frames, combining information from all channels to obtain a feature representation for a 3D CNN model; and applying the 3D CNN model to recognize human actions.

    Abstract translation: 公开了系统和方法，以通过执行3D卷积来识别来自一个或多个视频帧的人类动作来捕获在多个相邻帧中编码的运动信息并从其空间和时间维度提取特征; 从视频帧生成多个信道，组合来自所有信道的信息以获得3D CNN模型的特征表示; 并应用3D CNN模型来识别人类的行为。

    METHOD FOR IDENTIFYING SPIT OR SPAM FOR VOIP
    33.
    发明申请
    METHOD FOR IDENTIFYING SPIT OR SPAM FOR VOIP 审中-公开
    识别SPIT或SPAM的方法

    公开(公告)号：US20090202061A1

    公开(公告)日：2009-08-13

    申请号：US12281935

    申请日：2007-03-02

    Applicant: Joachim Charzinski ,  Christof Störmann ,  Volker Tresp ,  Stefan Hagen Weber ,  Kai Yu

    Inventor： Joachim Charzinski ,  Christof Störmann ,  Volker Tresp ,  Stefan Hagen Weber ,  Kai Yu

    IPC: H04M3/42

    CPC classification number: H04M3/436 ,  H04L65/1079 ,  H04M7/006

    Abstract: The invention relates to a method for the computer-assisted identification of a class of VoIP calls of a first type (spam) in a communication network (internet). Said communication network has a plurality (N) of first subscribers (Tn1-1, . . . , Tn1-5) and a plurality (M) of second subscribers (Tn2-1, . . . , Tn2-7), the first and the second subscribers being allocated a definite characteristic (IP address, telephone number, e-mail address) wherein, at least some of the first subscribers (Tn1-1, . . . , Tn1-5) are allocated, respectively, with at least one list (white list, black list) which contains at least one definite characteristic of the second subscriber. During a call of one of the second subscribers to one of the first subscribers, a control screens to see whether the characteristic of the second subscriber is on the list of the first subscriber and in the event that the second subscriber is not on the list of the called first subscribers, the lists of the additional first subscriber are used to make a decision whether the call is classified as a call of the first type (spam or trusted caller).

    Abstract translation: 本发明涉及一种用于计算机辅助识别通信网络（互联网）中的第一类型（垃圾邮件）的VoIP呼叫的方法。 所述通信网络具有多个（N）个第一用户（Tn1-1，...，Tn1-5）和多个（M）个第二用户（Tn2-1，...，Tn2-7），第一 并且第二用户被分配有明确的特征（IP地址，电话号码，电子邮件地址），其中分别分配了第一用户（Tn1-1，...，Tn1-5）中的至少一些，具有 至少包含第二用户的至少一个确定特征的列表（白名单，黑名单）。 在第一用户之一的第二用户之一的呼叫期间，控制屏幕，以查看第二用户的特征是否在第一用户的列表上，以及在第二用户不在第 被叫的第一用户，附加的第一用户的列表被用于决定呼叫是否被分类为第一类型的呼叫（垃圾邮件或受信任的呼叫者）。

    Systems and methods for determining image representations at a pixel level
    35.
    发明授权
    Systems and methods for determining image representations at a pixel level 有权
    用于在像素级确定图像表示的系统和方法

    公开(公告)号：US08682086B2

    公开(公告)日：2014-03-25

    申请号：US13109997

    申请日：2011-05-18

    Applicant: Yuanqing Lin ,  Kai Yu

    Inventor： Yuanqing Lin ,  Kai Yu

    IPC: G06K9/00 ,  G06K9/36

    CPC classification number: G06K9/6244 ,  G06K9/4676

    Abstract: Systems and methods process an image having a plurality of pixels includes an image sensor to capture an image; a first-layer to encode local patches on an image region; and a second layer to jointly encode patches from the same image region.

    Abstract translation: 处理具有多个像素的图像的系统和方法包括用于捕获图像的图像传感器; 编码图像区域上的局部斑块的第一层; 以及第二层，以共同编码来自相同图像区域的斑块。

    Optimum distance spectrum feedforward low rate tail-biting convolutional codes
    36.
    发明授权
    Optimum distance spectrum feedforward low rate tail-biting convolutional codes 有权
    最佳距离光谱前馈低速率尾部卷积码

    公开(公告)号：US08397147B2

    公开(公告)日：2013-03-12

    申请号：US12621604

    申请日：2009-11-19

    Applicant: (Jason) Tsao-Tsen Chen ,  Per Ernstrom ,  Sten Ingemar Sjoberg ,  Kai Yu

    Inventor： (Jason) Tsao-Tsen Chen ,  Per Ernstrom ,  Sten Ingemar Sjoberg ,  Kai Yu

    IPC: G06F11/00

    CPC classification number: H03M13/235 ,  H03M13/036 ,  H03M13/413 ,  H03M13/635 ,  H03M13/6362 ,  H03M13/6375

    Abstract: Method and apparatus for generating a set of generator polynomials for use as a tail biting convolutional code to operate on data transmitted over a channel comprises: (0) specifying a constraint and a low code rate for a tail biting convolutional code, where the low rate code is lower than 1/n (n being an integer greater than 4); (1) selecting valid combinations of generator polynomials to include in a pool of potential codes, each valid combination being a potential code of the low rate code; (2) determining first lines of a weight spectrum for each potential code in the pool and including potential codes of the pool having best first lines in a candidate set; (3) determining best codes of the candidate set based on the first L number of lines in the weight spectrum; (4) selecting an optimum code(s) from the best codes; and (5) configuring a circuit(s) of a data transceiver to implement the optimum code(s).

    Abstract translation: 用于生成一组生成多项式的方法和装置，其用作尾部卷积卷积码以对通过信道发送的数据进行操作包括：（0）为尾部卷积卷积码指定约束和低码率，其中低速率 代码低于1 / n（n是大于4的整数）; （1）选择生成多项式的有效组合以包括在潜在代码池中，每个有效组合是低速率代码的潜在代码; （2）确定所述池中每个潜在代码的权重谱的第一行，并且包括在候选集合中具有最佳第一行的所述池的潜在代码; （3）基于权重谱中的第一L个行数确定候选集合的最佳代码; （4）从最佳代码中选择最佳代码; 和（5）配置数据收发器的电路以实现最佳代码。

    RECOMMENDER SYSTEM WITH FAST MATRIX FACTORIZATION USING INFINITE DIMENSIONS
    38.
    发明申请
    RECOMMENDER SYSTEM WITH FAST MATRIX FACTORIZATION USING INFINITE DIMENSIONS 有权
    使用无限尺寸的快速矩阵拟合的推荐系统

    公开(公告)号：US20090299996A1

    公开(公告)日：2009-12-03

    申请号：US12331346

    申请日：2008-12-09

    Applicant: Kai Yu ,  Shenghuo Zhu ,  Yihong Gong

    Inventor： Kai Yu ,  Shenghuo Zhu ,  Yihong Gong

    IPC: G06F17/30

    CPC classification number: G06F17/30867 ,  G06F17/16

    Abstract: Systems and methods are disclosed for generating a recommendation by performing collaborative filtering using an infinite dimensional matrix factorization; generating one or more recommendations using the collaborative filtering; and displaying the recommendations to a user.

    Abstract translation: 公开了用于通过使用无限维矩阵分解进行协同过滤来产生推荐的系统和方法; 使用协同过滤生成一个或多个建议; 并向用户显示建议。

    Transfer Learning Methods and systems for Feed-Forward Visual Recognition Systems
    39.
    发明申请
    Transfer Learning Methods and systems for Feed-Forward Visual Recognition Systems 有权
    前馈视觉识别系统的转移学习方法和系统

    公开(公告)号：US20090141969A1

    公开(公告)日：2009-06-04

    申请号：US12277504

    申请日：2008-11-25

    Applicant: Kai Yu ,  Wei Xu ,  Yihong Gong

    Inventor： Kai Yu ,  Wei Xu ,  Yihong Gong

    IPC: G06K9/62

    CPC classification number: G06K9/6256 ,  G06N3/08

    Abstract: A method and system for training a neural network of a visual recognition computer system, extracts at least one feature of an image or video frame with a feature extractor; approximates the at least one feature of the image or video frame with an auxiliary output provided in the neural network; and measures a feature difference between the extracted at least one feature of the image or video frame and the approximated at least one feature of the image or video frame with an auxiliary error calculator. A joint learner of the method and system adjusts at least one parameter of the neural network to minimize the measured feature difference.

    Abstract translation: 一种用于训练视觉识别计算机系统的神经网络的方法和系统，使用特征提取器提取图像或视频帧的至少一个特征; 使用在神经网络中提供的辅助输出近似图像或视频帧的至少一个特征; 并且利用辅助误差计算器测量提取的图像或视频帧的至少一个特征与图像或视频帧的近似的至少一个特征之间的特征差异。 该方法和系统的联合学习者调整神经网络的至少一个参数以最小化测量的特征差异。

    Portable communication devices
    40.
    发明申请
    Portable communication devices 有权
    便携式通讯设备

    公开(公告)号：US20060279473A1

    公开(公告)日：2006-12-14

    申请号：US11449938

    申请日：2006-06-09

    Applicant: Kai Yu

    Inventor： Kai Yu

    IPC: H01Q1/50 ,  H01Q1/24

    CPC classification number: H01Q1/088 ,  H01Q1/242

    Abstract: Portable communication devices are provided. A portable communication device includes a housing, an antenna, and a push button. The housing includes a first receiving portion and a second receiving portion. The antenna is detachably disposed in the first receiving portion. The antenna includes a first engaging portion. The battery is detachably disposed in the second receiving portion. The battery includes a second engaging portion. The push button is disposed in the housing and includes a third engaging portion and a fourth engaging portion. The third engaging portion movably engages with the first engaging portion to fix the antenna to the housing. The fourth engaging portion movably engages with the second engaging portion to fix the battery to the housing.

    Abstract translation: 提供便携式通讯设备。 便携式通信设备包括外壳，天线和按钮。 壳体包括第一接收部分和第二接收部分。 天线可拆卸地设置在第一接收部分中。 天线包括第一接合部分。 电池可拆卸地设置在第二容纳部分中。 电池包括第二接合部分。 按钮设置在壳体中，并且包括第三接合部和第四接合部。 第三接合部分可移动地与第一接合部分接合以将天线固定到壳体。 第四接合部分可移动地与第二接合部分接合以将电池固定到壳体。

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