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公开(公告)号：US08516507B2
公开(公告)日：2013-08-20
申请号：US13542961
申请日：2012-07-06
IPC分类号： G06F13/00
CPC分类号： G06Q30/0269 , G06F9/451
摘要： Embodiments of the invention relate to an architecture or extension to a window manager. In particular, the extension can provide for a window rotation feature that can be exposed as a rotate button. Additionally or alternatively, the rotation feature can be activated based upon a diverse set of conditions, events, and/or commands. Upon activation of the rotation feature, the window manager can rotate a window about an axis to expose a secondary surface that can be populated with alternative content that is distinct from the content of the primary surface of the window. In addition, the architecture provides techniques for identifying both double-sided graphical objects and potentially double-sided objects.
摘要翻译： 本发明的实施例涉及到窗口管理器的架构或扩展。 特别地，扩展可以提供可以作为旋转按钮而被暴露的窗口旋转特征。 另外或替代地，旋转特征可以基于不同的条件，事件和/或命令集来激活。 在激活旋转特征时，窗口管理器可以围绕轴旋转窗口以露出可以用与窗口的主表面的内容不同的替代内容来填充的辅助表面。 此外，该架构还提供了用于识别双面图形对象和潜在双面对象的技术。
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公开(公告)号：US07254569B2
公开(公告)日：2007-08-07
申请号：US10874955
申请日：2004-06-23
CPC分类号： G06F17/243 , Y10S707/99931 , Y10S707/99945
摘要： The present invention provides a unique system and method that can employ machine learning techniques to automatically fill one or more fields across a diverse array of web forms. In particular, one or more instrumented tools can collect input or entries of form fields. Machine learning can be used to learn what data corresponds to which fields or types of fields. The input can be sent to a central repository where other databases can be aggregated as well. This input can be provided to a machine learning system to learn how to predict the desired outputs. Alternatively or in addition, learning can be performed in part by observing entries and then adapting the autofill component accordingly. Furthermore, a number of features of database fields as well as constraints can be employed to facilitate assignments of database entries to form values—particularly when the web form has never been seen before by the autofill system.
摘要翻译： 本发明提供了一种独特的系统和方法，该系统和方法可以采用机器学习技术来自动地填充不同数量的web形式的一个或多个字段。 特别地，一个或多个仪器化工具可以收集表单字段的输入或条目。 机器学习可用于了解与哪些字段或类型的字段对应的数据。 输入可以发送到中央存储库，也可以汇总其他数据库。 该输入可以提供给机器学习系统以学习如何预测期望的输出。 或者或另外，学习可以部分地通过观察条目执行，然后相应地适应自动填充组件。 此外，可以采用数据库字段和约束的许多特征来促进数据库条目的分配以形成值 - 特别是当自动填充系统之前从未看到Web形式时。
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公开(公告)号：US08922559B2
公开(公告)日：2014-12-30
申请号：US12748014
申请日：2010-03-26
CPC分类号： G06K9/6224 , G06F17/30958 , G06Q30/02 , G06Q30/08
摘要： Various embodiments provide techniques for graph clustering. In one or more embodiments, a participation graph is obtained that represents relationships between entities. An auxiliary graph is constructed based on the participation graph. The auxiliary graph may be constructed such that the auxiliary graph is less dense than the participation graph and is therefore computationally less complex to analyze. Clusters in the auxiliary graph are determined by solving an objective function defined for the auxiliary graph. Clusters determined for the auxiliary graph may then be utilized to ascertain clusters in the participation graph that solve a related objective function defined for the participation graph.
摘要翻译： 各种实施例提供了用于图形聚类的技术。 在一个或多个实施例中，获得表示实体之间的关系的参与图。 基于参与图构建辅助图。 辅助图可以被构造成使得辅助图不如参与图密度小，因此在计算上不太分析复杂。 辅助图中的簇通过求解辅助图定义的目标函数来确定。 然后可以使用为辅助图确定的群集来确定参与图中的聚类，以解决为参与图定义的相关目标函数。
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公开(公告)号：US07660779B2
公开(公告)日：2010-02-09
申请号：US10844540
申请日：2004-05-12
IPC分类号： G06F17/27
CPC分类号： G06F17/243 , Y10S707/99931 , Y10S707/99945
摘要： The present invention provides a unique system and method that can employ machine learning techniques to automatically fill one or more fields across a diverse array of web forms. In particular, one or more instrumented tools can collect input or entries of form fields. Machine learning can be used to learn what data corresponds to which fields or types of fields. The input can be sent to a central repository where other databases can be aggregated as well. This input can be provided to a machine learning system to learn how to predict the desired outputs. Alternatively or in addition, learning can be performed in part by observing entries and then adapting the autofill component accordingly. Furthermore, a number of features of database fields as well as constraints can be employed to facilitate assignments of database entries to form values—particularly when the web form has never been seen before by the autofill system.
摘要翻译： 本发明提供了一种独特的系统和方法，该系统和方法可以采用机器学习技术来自动填充不同数量的web形式的一个或多个字段。 特别地，一个或多个仪器化工具可以收集表单字段的输入或条目。 机器学习可用于了解与哪些字段或类型的字段对应的数据。 输入可以发送到中央存储库，也可以汇总其他数据库。 该输入可以提供给机器学习系统以学习如何预测期望的输出。 或者或另外，学习可以部分地通过观察条目执行，然后相应地适应自动填充组件。 此外，可以采用数据库字段和约束的许多特征来促进数据库条目的分配以形成值 - 特别是当自动填充系统之前从未看到Web形式时。
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