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    Robust online face tracking
    41.
    发明申请
    Robust online face tracking 有权
    强大的在线人脸跟踪

    公开(公告)号：US20070098218A1

    公开(公告)日：2007-05-03

    申请号：US11265773

    申请日：2005-11-02

    申请人： Weiwei Zhang ,  Rong Xiao ,  Xiaoou Tang

    发明人： Weiwei Zhang ,  Rong Xiao ,  Xiaoou Tang

    IPC分类号： G06K9/00

    CPC分类号： G06K9/6857 ,  G06K9/00228 ,  G06T7/207

    摘要： Systems and methods are described for robust online face tracking. In one implementation, a system derives multiple resolutions of each video frame of a video sequence portraying movement of a visual object. The system tracks movement of the visual object in a low resolution as input for tracking the visual object in a higher resolution. The system can greatly reduce jitter while maintaining an ability to reliably track fast-moving visual objects.

    摘要翻译： 描述了用于强大的在线人脸跟踪的系统和方法。 在一个实现中，系统导出描绘视觉对象的移动的视频序列的每个视频帧的多个分辨率。 系统以低分辨率跟踪可视对象的移动，作为用于以更高分辨率跟踪视觉对象的输入。 该系统可以大大减少抖动，同时保持可靠地跟踪快速移动的视觉对象的能力。

    Location context mining
    43.
    发明授权
    Location context mining 有权
    位置上下文挖掘

    公开(公告)号：US08572076B2

    公开(公告)日：2013-10-29

    申请号：US12764977

    申请日：2010-04-22

    申请人： Rong Xiao ,  Jiangming Yang ,  Lei Zhang ,  Xingrong Chen

    发明人： Rong Xiao ,  Jiangming Yang ,  Lei Zhang ,  Xingrong Chen

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30616

    摘要： Concepts and technologies are described herein for mining location contexts within document text. Through an implementation of the concepts and technologies presented herein, functionality can be provided for location context mining within articles, websites, travelogues, or other such documents. A location context is a concept associated with a specific location. For example, the contexts “beach” and “hula” are associated with Hawaii. Similarly, “glacier” and “polar bear” are contexts associated with Alaska. Location context mining can automatically discover locations and location contexts by mining information from a set of documents. User interfaces to support queries of the mined information are also presented herein.

    摘要翻译： 这里描述了在文档文本内挖掘位置上下文的概念和技术。 通过实施这里提出的概念和技术，可以为文章，网站，旅游文档或其他此类文档中的位置上下文挖掘提供功能。 位置上下文是与特定位置相关联的概念。 例如，“海滩”和“呼啦”的背景与夏威夷有关。 类似地，“冰川”和“北极熊”是与阿拉斯加相关的上下文。 位置上下文挖掘可以通过从一组文档挖掘信息来自动发现位置和位置上下文。 本文还介绍了支持挖掘信息查询的用户界面。

    Mining topic-related aspects from user generated content
    44.
    发明授权
    Mining topic-related aspects from user generated content 有权
    从用户生成的内容中挖掘主题相关的方面

    公开(公告)号：US08458115B2

    公开(公告)日：2013-06-04

    申请号：US12796303

    申请日：2010-06-08

    申请人： Rui Cai ,  Qiang Hao ,  Changhu Wang ,  Rong Xiao ,  Lei Zhang

    发明人： Rui Cai ,  Qiang Hao ,  Changhu Wang ,  Rong Xiao ,  Lei Zhang

    IPC分类号： G06F9/44 ,  G06N7/02 ,  G06N7/06

    CPC分类号： G06F17/30707

    摘要： Described herein is a technology that facilitates efficient automated mining of topic-related aspects of user generated content based on automated analysis of the user generated content. Locations are automatically learned based on dividing documents into document segments, and decomposing the segments into local topics and global topics. Techniques described herein include, for example, computer annotating travelogues with learned tags, performing topic learning to obtain an interest model, and performing location matching based on the interest model.

    摘要翻译： 这里描述了一种技术，其有助于基于对用户生成的内容的自动化分析来有效地自动挖掘用户生成的内容的主题相关方面。 根据将文档分割成文档段，自动学习位置，并将段分解为本地主题和全局主题。 本文描述的技术包括例如计算机注释具有学习标签的旅行记录，执行主题学习以获得兴趣模型，以及基于兴趣模型执行位置匹配。

    LOCATION CONTEXT MINING
    47.
    发明申请
    LOCATION CONTEXT MINING 有权
    位置背景采矿

    公开(公告)号：US20110264655A1

    公开(公告)日：2011-10-27

    申请号：US12764977

    申请日：2010-04-22

    申请人： Rong Xiao ,  Jiangming Yang ,  Lei Zhang ,  Xingrong Chen

    发明人： Rong Xiao ,  Jiangming Yang ,  Lei Zhang ,  Xingrong Chen

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30616

    摘要： Concepts and technologies are described herein for mining location contexts within document text. Through an implementation of the concepts and technologies presented herein, functionality can be provided for location context mining within articles, websites, travelogues, or other such documents. A location context is a concept associated with a specific location. For example, the contexts “beach” and “hula” are associated with Hawaii. Similarly, “glacier” and “polar bear” are contexts associated with Alaska. Location context mining can automatically discover locations and location contexts by mining information from a set of documents. User interfaces to support queries of the mined information are also presented herein.

    摘要翻译： 这里描述了在文档文本内挖掘位置上下文的概念和技术。 通过实施这里提出的概念和技术，可以为文章，网站，旅游文档或其他此类文档中的位置上下文挖掘提供功能。 位置上下文是与特定位置相关联的概念。 例如，“海滩”和“呼啦”的背景与夏威夷有关。 类似地，“冰川”和“北极熊”是与阿拉斯加相关的上下文。 位置上下文挖掘可以通过从一组文档挖掘信息来自动发现位置和位置上下文。 本文还介绍了支持挖掘信息查询的用户界面。

    Travelogue locating mining for travel suggestion
    48.
    发明申请
    Travelogue locating mining for travel suggestion 有权
    旅游定位采矿旅游建议

    公开(公告)号：US20110078139A1

    公开(公告)日：2011-03-31

    申请号：US12568749

    申请日：2009-09-29

    申请人： Rong Xiao ,  Jiangming Yang ,  Lei Zhang ,  Xingrong Chen

    发明人： Rong Xiao ,  Jiangming Yang ,  Lei Zhang ,  Xingrong Chen

    IPC分类号： G06F7/10 ,  G06F17/30

    CPC分类号： G06F17/30241 ,  G06F17/3087 ,  Y10S707/919

    摘要： A location extraction component analyzes a set of travelogues to identify all of the locations mentioned therein. A co-occurrence extraction component computes co-occurrence values for the identified locations. When the identity of a specified location is received, suggested locations for the specified location are identified through the use of the co-occurrence values. A map is displayed that encompasses an area including the specified location and the suggested locations. The map might include indicators for the specified location and for each of the suggested locations. Attributes of the indicators, such as their size or color, can be modified based upon the co-occurrence value associated with the corresponding suggested location.

    摘要翻译： 位置提取组件分析一组旅行记录以识别其中提到的所有位置。 同现提取组件计算所识别位置的同现值。 当接收到指定位置的身份时，通过使用同现值来识别指定位置的建议位置。 显示包含指定位置和建议位置的区域的地图。 地图可能包含指定位置和每个建议位置的指示符。 可以基于与相应的建议位置相关联的共现值来修改指示符的属性，例如其大小或颜色。

    ELECTRONIC DEVICE WITH DISPLAY
    49.
    发明申请
    ELECTRONIC DEVICE WITH DISPLAY 审中-公开
    带显示器的电子设备

    公开(公告)号：US20100027207A1

    公开(公告)日：2010-02-04

    申请号：US12346841

    申请日：2008-12-31

    申请人： JI-YING JIN ,  CHUANG YUE ,  EN-LONG HAO ,  WEI-RONG XIAO ,  QIANG ZHANG ,  LIE ZHANG

    发明人： JI-YING JIN ,  CHUANG YUE ,  EN-LONG HAO ,  WEI-RONG XIAO ,  QIANG ZHANG ,  LIE ZHANG

    IPC分类号： H05K7/00

    CPC分类号： G06F1/1626 ,  G06F2200/1634

    摘要： An electronic device includes a main body and a cover. The main body includes a front surface with a display disposed thereon, a rear surface, a bottom surface, a top surface, and two opposite lateral surfaces. Each lateral surface defines a sliding slot extending substantially from the center of the lateral surface towards the bottom surface. The cover includes a cover portion and two connecting portions. The two connecting portions are located at two ends of the cover portion spatially corresponding to the sliding slots. The connecting portion includes a supporting portion and a latching portion. The supporting portion protrudes substantially perpendicularly from the cover portion. The latching portion extends into the sliding slot from the free end of the supporting portion and slidably latches with the sliding slot.

    摘要翻译： 电子设备包括主体和盖。 主体包括其上设置有显示器的前表面，后表面，底表面，顶表面和两个相对的侧表面。 每个侧表面限定了一个基本上从侧表面的中心向底表面延伸的滑槽。 盖包括盖部分和两个连接部分。 两个连接部分位于空间对应于滑槽的盖部分的两端。 连接部分包括支撑部分和闩锁部分。 支撑部从盖部大致垂直地突出。 闩锁部分从支撑部分的自由端延伸到滑动槽中，并与滑动槽滑动锁定。

    Linear Laplacian Discrimination for Feature Extraction
    50.
    发明申请
    Linear Laplacian Discrimination for Feature Extraction 有权
    线性拉普拉斯算子特征提取

    公开(公告)号：US20090297046A1

    公开(公告)日：2009-12-03

    申请号：US12129515

    申请日：2008-05-29

    申请人： Deli Zhao ,  Zhouchen Lin ,  Rong Xiao ,  Xiaoou Tang

    发明人： Deli Zhao ,  Zhouchen Lin ,  Rong Xiao ,  Xiaoou Tang

    IPC分类号： G06K9/62

    CPC分类号： G06K9/00275 ,  G06K9/6234

    摘要： An exemplary method for extracting discriminant feature of samples includes providing data for samples in a multidimensional space; based on the data, computing local similarities for the samples; mapping the local similarities to weights; based on the mapping, formulating an inter-class scatter matrix and an intra-class scatter matrix; and based on the matrices, maximizing the ratio of inter-class scatter to intra-class scatter for the samples to provide discriminate features of the samples. Such a method may be used for classifying samples, recognizing patterns, or other tasks. Various other methods, devices, system, etc., are also disclosed.

    摘要翻译： 用于提取样本的判别特征的示例性方法包括在多维空间中提供样本的数据; 基于数据，计算样本的局部相似度; 将局部相似性映射到权重; 基于映射，制定类间散布矩阵和类内散布矩阵; 并且基于矩阵，最大化样本之间的类间散射与类内散射的比率以提供样本的区别特征。 这种方法可用于分类样本，识别模式或其他任务。 还公开了各种其它方法，装置，系统等。