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    Methods and systems for feature selection
    1.
    发明授权
    Methods and systems for feature selection 失效
    特征选择的方法和系统

    公开(公告)号：US07277574B2

    公开(公告)日：2007-10-02

    申请号：US11169107

    申请日：2005-06-27

    申请人： Yan Liu ,  John Kender

    发明人： Yan Liu ,  John Kender

    IPC分类号： G06K9/62

    CPC分类号： G06K9/6228 ,  G06K9/6229 ,  Y10S707/99937

    摘要： Methods and systems for feature selection are described. In particular, methods and systems for feature selection for data classification, retrieval, and segmentation are described. Certain embodiments of the invention are directed to methods and systems for complement sort-merge tree (CSMT), fast-converging sort-merge tree (FSMT), and multi-level (ML) feature selection. Accurate and fast results may be obtained by the feature selection methods and systems described herein.

    摘要翻译： 描述用于特征选择的方法和系统。 特别地，描述了用于数据分类，检索和分割的特征选择的方法和系统。 本发明的某些实施例涉及用于补码分类合并树（CSMT），快速聚合分类合并树（FSMT）和多级（ML）特征选择的方法和系统。 通过本文描述的特征选择方法和系统可以获得准确和快速的结果。

    Methods and systems for feature selection
    2.
    发明申请
    Methods and systems for feature selection 失效
    特征选择的方法和系统

    公开(公告)号：US20060133666A1

    公开(公告)日：2006-06-22

    申请号：US11169107

    申请日：2005-06-27

    申请人： Yan Liu ,  John Kender

    发明人： Yan Liu ,  John Kender

    IPC分类号： G06K9/62 ,  G06K9/46

    CPC分类号： G06K9/6228 ,  G06K9/6229 ,  Y10S707/99937

    摘要： Methods and systems for feature selection are described. In particular, methods and systems for feature selection for data classification, retrieval, and segmentation are described. Certain embodiments of the invention are directed to methods and systems for complement sort-merge tree (CSMT), fast-converging sort-merge tree (FSMT), and multi-level (ML) feature selection. Accurate and fast results may be obtained by the feature selection methods and systems described herein.

    摘要翻译： 描述用于特征选择的方法和系统。 特别地，描述了用于数据分类，检索和分割的特征选择的方法和系统。 本发明的某些实施例涉及用于补码分类合并树（CSMT），快速聚合分类合并树（FSMT）和多级（ML）特征选择的方法和系统。 通过本文描述的特征选择方法和系统可以获得准确和快速的结果。

    Mosquito killer
    3.
    外观设计
    Mosquito killer 有权

    公开(公告)号：USD997290S1

    公开(公告)日：2023-08-29

    申请号：US29838088

    申请日：2022-05-10

    申请人： Yan Liu

    设计人： Yan Liu

    摘要： FIG. 1 is a perspective view of a mosquito killer, showing my new design;
    FIG. 2 is another perspective view thereof;
    FIG. 3 is a front view thereof;
    FIG. 4 is a rear view thereof;
    FIG. 5 is a left side view thereof;
    FIG. 6 is a right side view thereof;
    FIG. 7 is a top plan view thereof; and,
    FIG. 8 is a bottom plan view thereof.
    The broken line showing of portions of the mosquito killer is included for the purpose of illustrating only and forms no part of the claimed design.

    Method and system for preventing loops in mesh networks
    4.
    发明授权
    Method and system for preventing loops in mesh networks 有权
    用于防止网状网络环路的方法和系统

    公开(公告)号：US09060322B2

    公开(公告)日：2015-06-16

    申请号：US13281072

    申请日：2011-10-25

    申请人： Xu Zou ,  Kangchang Huang ,  Yan Liu

    发明人： Xu Zou ,  Kangchang Huang ,  Yan Liu

    IPC分类号： H04L12/28 ,  H04W4/00 ,  H04W40/02 ,  H04L12/705 ,  H04L12/715 ,  H04L12/707

    CPC分类号： H04W40/02 ,  H04L45/04 ,  H04L45/18 ,  H04L45/24

    摘要： The present disclosure discloses a network device and/or method for preventing loops in routing paths of network frames in a wireless digital network. The disclosed network device at a network node receives a frame from a wired network. The frame includes a site identifier uniquely corresponding to the wired network, a source physical address, and a destination physical address. If the network node is selected as a representative portal node, the network device forwards the frame. Otherwise, if another network node is selected as the representative portal node, the network device drops the received frame to prevent forming a loop in a routing path corresponding to the frame. If not other network is selected as the representative portal node, the network device floods the frame to other network nodes in the wireless network.

    摘要翻译： 本公开公开了一种用于防止无线数字网络中的网络帧的路由路径中的环路的网络设备和/或方法。 在网络节点处公开的网络设备从有线网络接收帧。 帧包括与有线网络唯一对应的站点标识符，源物理地址和目的地物理地址。 如果选择网络节点作为代表性门户节点，则网络设备转发该帧。 否则，如果选择另一网络节点作为代表门户节点，则网络设备丢弃所接收的帧，以防止在对应于该帧的路由路径中形成环路。 如果不选择其他网络作为代表门户网站节点，则网络设备会将该帧洪​​泛到无线网络中的其他网络节点。

    Electrostatic chuck with polymer protrusions
    7.
    发明授权
    Electrostatic chuck with polymer protrusions 有权
    具有聚合物突起的静电卡盘

    公开(公告)号：US08879233B2

    公开(公告)日：2014-11-04

    申请号：US13266657

    申请日：2010-05-13

    申请人： Richard A. Cooke ,  Nate Richard ,  Steven Donnell ,  Mark Vose ,  Yan Liu

    发明人： Richard A. Cooke ,  Nate Richard ,  Steven Donnell ,  Mark Vose ,  Yan Liu

    IPC分类号： H01T23/00 ,  H01L21/683 ,  H01L21/687

    CPC分类号： H01L21/6831 ,  H01L21/6875

    摘要： In accordance with an embodiment of the invention, there is provided an electrostatic chuck. The electrostatic chuck comprises a surface layer activated by a voltage in an electrode to form an electric charge to electrostatically clamp a substrate to the electrostatic chuck. The surface layer includes a plurality of polymer protrusions and a charge control layer to which the plurality of polymer protrusions adhere, the plurality of polymer protrusions extending to a height above portions of the charge control layer surrounding the plurality of polymer protrusions to support the substrate upon the plurality of polymer protrusions during electrostatic clamping of the substrate.

    摘要翻译： 根据本发明的实施例，提供了一种静电卡盘。 静电卡盘包括由电极中的电压激活的表面层，以形成电荷以将基板静电夹持到静电卡盘。 表面层包括多个聚合物突起和电荷控制层，多个聚合物突起粘附在该电荷控制层上，多个聚合物突起延伸到围绕多个聚合物突起的电荷控制层的部分上方的高度，以将基底支撑在 在基板的静电夹持期间的多个聚合物突起。

    Systems and methods for extracting patterns from graph and unstructered data
    9.
    发明授权
    Systems and methods for extracting patterns from graph and unstructered data 有权
    从图形和非结构化数据中提取模式的系统和方法

    公开(公告)号：US08738361B2

    公开(公告)日：2014-05-27

    申请号：US12496252

    申请日：2009-07-01

    申请人： Wojciech Gryc ,  Richard Lawrence ,  Yan Liu

    发明人： Wojciech Gryc ,  Richard Lawrence ,  Yan Liu

    IPC分类号： G06F17/27

    CPC分类号： G06F17/27 ,  G06F17/2745

    摘要： A computing system receives input data having both graph and unstructured data and computes a current log likelihood of the input data. The computing system compares the current log likelihood with a previous log likelihood of the input data. If the current log likelihood is larger than the previous log likelihood, the computing system update topic modeling parameters, community modeling parameters, and the link generation parameter until the computing system obtains a maximal value of the log likelihood of the input data. Then, the computing system creates a graph indicating topic similarity between the input data based on the topic modeling parameters, creates another graph indicating community similarity between entities associated with the input data based on the community modeling parameters, and predicts a link existence between input data or entities based on the link generation parameter, the topic modeling parameter and the community modeling parameter.

    摘要翻译： 计算系统接收具有图形和非结构化数据的输入数据，并计算输入数据的当前对数似然性。 计算系统将当前对数似然率与输入数据的先前对数似然比较。 如果当前对数似然度大于先前的对数似然度，则计算系统更新主题建模参数，社区建模参数和链路生成参数，直到计算系统获得输入数据的对数似然性的最大值。 然后，计算系统基于主题建模参数创建指示输入数据之间的主题相似性的图形，基于社区建模参数创建指示与输入数据相关联的实体之间的社区相似性的另一图形，并且预测输入数据之间的链接存在 或基于链接生成参数，主题建模参数和社区建模参数的实体。