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    • 2. 发明申请
    • KOREAN-LANGUAGE INPUT PANEL
    • 韩国语言输入面板
    • US20130222262A1
    • 2013-08-29
    • US13406531
    • 2012-02-28
    • Bongshin LeeTim PaekByoung Hoon ShinYoong Ki AhnDaesung Kim
    • Bongshin LeeTim PaekByoung Hoon ShinYoong Ki AhnDaesung Kim
    • G06F3/02
    • G06F3/0236G06F3/018G06F3/04886
    • The current application is directed to intuitive, easily manipulated, and fully functional soft-input panels (“SIPs”) and hardware input panels (“HIPs”), or physical keyboards, for mobile telephones, tablet computers, and other electronic devices that provide for input of Korean-language text. One implementation of the Korean-language SIP to which the current application is directed includes 16 different displayed input features arranged in four columns and four rows. The 16 input features of this particular implementation allow for input of all Hangul Korean-language characters as well as cursor control, text-entry control, and alternate-SIP toggles. Neither this section nor the sections which follow are intended to either limit the scope of the claims which follow or define the scope of those claims.
    • 目前的应用是面向移动电话,平板电脑和其他电子设备提供直观,易于操作和功能全面的软输入面板(“SIP”)和硬件输入面板(“HIP”)或物理键盘 用于输入韩文文本。 目前应用所针对的韩语SIP的一个实现包括以四列和四行排列的16种不同的显示输入特征。 该特定实现的16个输入功能允许输入所有韩文韩文字符以及光标控制,文本输入控制和备用SIP切换。 本节或以下各节均不意图限制以下权利要求的范围或界定这些权利要求的范围。
    • 3. 发明授权
    • Interactive visualization for generating ensemble classifiers
    • 用于生成综合分类器的交互式可视化
    • US08306940B2
    • 2012-11-06
    • US12408663
    • 2009-03-20
    • Bongshin LeeAshish KapoorDesney S. TanJustin Talbot
    • Bongshin LeeAshish KapoorDesney S. TanJustin Talbot
    • G06F15/18G06F17/00G06N5/04
    • G06N99/005
    • A real-time visual feedback ensemble classifier generator and method for interactively generating an optimal ensemble classifier using a user interface. Embodiments of the real-time visual feedback ensemble classifier generator and method use a weight adjustment operation and a partitioning operation in the interactive generation process. In addition, the generator and method include a user interface that provides real-time visual feedback to a user so that the user can see how the weight adjustment and partitioning operation affect the overall accuracy of the ensemble classifier. Using the user interface and the interactive controls available on the user interface, a user can iteratively use one or both of the weigh adjustment operation and partitioning operation to generate an optimized ensemble classifier.
    • 一种实时视觉反馈综合分类器生成器和方法,用于使用用户界面交互式生成最佳集合分类器。 实时视觉反馈综合分类器发生器和方法的实施例在交互式生成过程中使用权重调整操作和分割操作。 此外,发生器和方法包括向用户提供实时视觉反馈的用户界面,使得用户可以看到权重调整和分割操作如何影响整体分类器的整体精度。 使用用户界面上的用户界面和交互式控件,用户可以迭代地使用权重调整操作和分区操作中的一个或两者来生成优化的整体分类器。
    • 8. 发明申请
    • STATIC VISUALIZATION OF MULTIPLE-DIMENSION DATA TRENDS
    • 多维数据趋势的静态可视化
    • US20090322754A1
    • 2009-12-31
    • US12146483
    • 2008-06-26
    • George G. RobertsonRoland FernandezDanyel FisherBongshin Lee
    • George G. RobertsonRoland FernandezDanyel FisherBongshin Lee
    • G06T11/20
    • G06T11/20
    • A data trends static visualization system and method including a data trends static visualization diagram for statically visualizing changes in data. The data trends static visualization diagram is a multi-dimensional static diagram including plots of multiple data items, where each data item is a set of related data having associated nodes and links. Each node represents a data point of the data item and links are used to connect at least some of the nodes. The data trends static visualization diagram uses a variety of visualization components to accentuate data changes and indicate a direction (or flow) of data trends. The visualization components include a node opacity visualization component, a link opacity visualization component, and a node size visualization component. The data trends static visualization diagram includes a traces diagram, for plotting trace lines in one diagram, and a small multiples diagram, for plotting individual trace lines in multiple diagrams.
    • 数据趋势静态可视化系统和方法包括数据趋势静态可视化图,用于静态可视化数据变化。 数据趋势静态可视化图是一个多维静态图,包括多个数据项的图,其中每个数据项是一组具有关联节点和链接的相关数据。 每个节点表示数据项的数据点,并且链接用于连接至少一些节点。 数据趋势静态可视化图使用各种可视化组件来强调数据更改并指示数据趋势的方向(或流)。 可视化组件包括节点不透明度可视化组件,链接不透明度可视化组件和节点大小可视化组件。 数据趋势静态可视化图包括一个轨迹图,用于在一个图中绘制轨迹线,以及一个小的倍数图,用于在多个图中绘制单个轨迹线。