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    Method and system for selectively enforcing presentation themes
    1.
    发明申请
    Method and system for selectively enforcing presentation themes 审中-公开
    有选择地执行演示主题的方法和系统

    公开(公告)号：US20060036943A1

    公开(公告)日：2006-02-16

    申请号：US11258755

    申请日：2005-10-25

    申请人： Nicholas Kramer ,  Mark Finocchio ,  Robert Sinclair

    发明人： Nicholas Kramer ,  Mark Finocchio ,  Robert Sinclair

    IPC分类号： G06F17/24 ,  G06F3/00

    CPC分类号： G06F9/451

    摘要： Disclosed is a theme property sheet system that supports presentation themes by coordinating values provided to elements used in a user interface. When an interface user expresses a preference for a particular presentation theme, that theme's property sheet is given precedence over other mechanisms for setting property values. By appropriately setting these values in the interface, the theme property sheet enhances the coherence of the interface. The theme property sheet allows an interface designer to add new presentation elements to a user interface without being concerned about presentation themes. The default for each property as set by the designer is overridden, when necessary, by the theme sheet. In a few particular cases, an application designer needs to override even the user's theme preferences. A mechanism is provided to support these exceptional cases.

    摘要翻译： 公开了通过协调提供给用户界面中使用的元素的值来支持演示主题的主题属性表系统。 当界面用户表达对特定演示主题的偏好时，该主题的属性表优先于设置属性值的其他机制。 通过在界面中适当设置这些值，主题属性表可以增强界面的一致性。 主题属性表允许界面设计者向用户界面添加新的演示元素，而不用担心演示主题。 由设计人员设置的每个属性的默认值在必要时被主题表覆盖。 在一些特殊情况下，应用程序设计者需要覆盖用户的主题偏好。 提供了一种机制来支持这些特殊情况。

    NEAR-PLANE SEGMENTATION USING PULSED LIGHT SOURCE
    2.
    发明申请
    NEAR-PLANE SEGMENTATION USING PULSED LIGHT SOURCE 有权
    使用脉冲光源的近平面分割

    公开(公告)号：US20140306874A1

    公开(公告)日：2014-10-16

    申请号：US13862196

    申请日：2013-04-12

    申请人： Mark Finocchio ,  Alexandru Balan ,  Nathan Ackerman ,  Jeffrey Margolis

    发明人： Mark Finocchio ,  Alexandru Balan ,  Nathan Ackerman ,  Jeffrey Margolis

    IPC分类号： G06F3/01

    CPC分类号： G06F3/017 ,  G06F3/011

    摘要： Methods for recognizing gestures within a near-field environment are described. In some embodiments, a mobile device, such as a head-mounted display device (HMD), may capture a first image of an environment while illuminating the environment using an IR light source with a first range (e.g., due to the exponential decay of light intensity) and capture a second image of the environment without illumination. The mobile device may generate a difference image based on the first image and the second image in order to eliminate background noise due to other sources of IR light within the environment (e.g., due to sunlight or artificial light sources). In some cases, object and gesture recognition techniques may be applied to the difference image in order to detect the performance of hand and/or finger gestures by an end user of the mobile device within a near-field environment of the mobile device.

    摘要翻译： 描述在近场环境中识别手势的方法。 在一些实施例中，诸如头戴式显示设备（HMD）的移动设备可以使用具有第一范围的IR光源（例如，由于指示衰减的指数衰减而捕获环境的第一图像，同时照亮环境 光强度），并捕获环境的第二个图像而无需照明。 移动设备可以基于第一图像和第二图像生成差异图像，以消除由于环境中的其他IR光源（例如，由于阳光或人造光源）引起的背景噪声。 在一些情况下，可以将对象和手势识别技术应用于差异图像，以便在移动设备的近场环境内检测移动设备的最终用户的手和/或手指手势的性能。

    Property management mechanisms for properties in an on-demand property system
    6.
    发明申请
    Property management mechanisms for properties in an on-demand property system 有权
    物业管理机制的物业在按需物业系统

    公开(公告)号：US20050114293A1

    公开(公告)日：2005-05-26

    申请号：US10939296

    申请日：2004-09-11

    申请人： Namita Gupta ,  Mark Finocchio ,  Michael Hillberg ,  Jeffrey Bogdan

    发明人： Namita Gupta ,  Mark Finocchio ,  Michael Hillberg ,  Jeffrey Bogdan

    IPC分类号： G06F7/00 ,  G06F17/00

    CPC分类号： G06F8/24 ,  Y10S707/99944 ,  Y10S707/99953

    摘要： The techniques and mechanisms described herein are directed at property management mechanisms that operate within an on-demand property system. The property management mechanisms support the caching of property values on an as needed basis, allow a plurality of object instances to utilize the same property via attached properties, overriding default information associated with a property on a per type basis, obtaining values for a property from an external source, and the like. In addition, the on-demand property system provides validation and control for each property instance. The property management mechanisms minimize the storage requirements and provide flexibility without requiring additional code from the developers.

    摘要翻译： 本文描述的技术和机制针对在按需属性系统内操作的物业管理机制。 属性管理机制根据需要支持对属性值的缓存，允许多个对象实例通过附加属性利用相同的属性，覆盖与每个类型基础上的属性关联的默认信息，获取属性值 外部源等。 此外，按需属性系统为每个属性实例提供验证和控制。 物理管理机制可最大限度地减少存储需求并提供灵活性，而无需开发人员附加的代码。

    Parallel processing machine learning decision tree training
    7.
    发明授权
    Parallel processing machine learning decision tree training 有权
    并行处理机器学习决策树训练

    公开(公告)号：US09171264B2

    公开(公告)日：2015-10-27

    申请号：US12969112

    申请日：2010-12-15

    申请人： Mark Finocchio ,  Richard E. Moore ,  Ryan M. Geiss ,  Jamie Shotton

    发明人： Mark Finocchio ,  Richard E. Moore ,  Ryan M. Geiss ,  Jamie Shotton

    IPC分类号： G06F15/80 ,  G06F15/167 ,  G06N99/00 ,  G06N5/04 ,  G06K9/00 ,  G06K9/62

    CPC分类号： G06N99/005 ,  G06K9/00986 ,  G06K9/6281 ,  G06N5/046

    摘要： Embodiments are disclosed herein that relate to generating a decision tree through graphical processing unit (GPU) based machine learning. For example, one embodiment provides a method including, for each level of the decision tree: performing, at each GPU of the parallel processing pipeline, a feature test for a feature in a feature set on every example in an example set. The method further includes accumulating results of the feature tests in local memory blocks. The method further includes writing the accumulated results from each local memory block to global memory to generate a histogram of features for every node in the level, and for each node in the level, assigning a feature having a lowest entropy in accordance with the histograms to the node.

    摘要翻译： 本文公开的实施例涉及通过基于图形处理单元（GPU）的机器学习来生成决策树。 例如，一个实施例提供一种方法，其包括对于决策树的每个级别：在并行处理流水线的每个GPU处执行在示例集合中的每个示例上的特征集中的特征的特征测试。 该方法还包括在本地存储器块中积累特征测试的结果。 该方法还包括将来自每个本地存储器块的累积结果写入全局存储器以产生该级别中的每个节点的特征的直方图，并且对于该级别中的每个节点，根据直方图将具有最低熵的特征分配到 节点。

    PARALLEL PROCESSING MACHINE LEARNING DECISION TREE TRAINING
    10.
    发明申请
    PARALLEL PROCESSING MACHINE LEARNING DECISION TREE TRAINING 有权
    平行加工机器学习决策树培训

    公开(公告)号：US20120154373A1

    公开(公告)日：2012-06-21

    申请号：US12969112

    申请日：2010-12-15

    申请人： Mark Finocchio ,  Richard E. Moore ,  Ryan M. Geiss ,  Jamie Shotton

    发明人： Mark Finocchio ,  Richard E. Moore ,  Ryan M. Geiss ,  Jamie Shotton

    IPC分类号： G06F15/80 ,  G06T15/00

    CPC分类号： G06N99/005 ,  G06K9/00986 ,  G06K9/6281 ,  G06N5/046

    摘要： Embodiments are disclosed herein that relate to generating a decision tree through graphical processing unit (GPU) based machine learning. For example, one embodiment provides a method including, for each level of the decision tree: performing, at each GPU of the parallel processing pipeline, a feature test for a feature in a feature set on every example in an example set. The method further includes accumulating results of the feature tests in local memory blocks. The method further includes writing the accumulated results from each local memory block to global memory to generate a histogram of features for every node in the level, and for each node in the level, assigning a feature having a lowest entropy in accordance with the histograms to the node.

    摘要翻译： 本文公开的实施例涉及通过基于图形处理单元（GPU）的机器学习来生成决策树。 例如，一个实施例提供一种方法，其包括对于决策树的每个级别：在并行处理流水线的每个GPU处执行在示例集合中的每个示例上的特征集中的特征的特征测试。 该方法还包括在本地存储器块中积累特征测试的结果。 该方法还包括将来自每个本地存储器块的累积结果写入全局存储器以产生该级别中的每个节点的特征的直方图，并且对于该级别中的每个节点，根据直方图将具有最低熵的特征分配到 节点。