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1. 发明授权

US08875009B1 Analyzing links for NCX navigation 有权
标题翻译：分析NCX导航的链接
公开(公告)号：US08875009B1
公开(公告)日：2014-10-28
申请号：US13429061
申请日：2012-03-23
申请人： Jian Lin , Xi Long , Michael Patrick Bacus
发明人： Jian Lin , Xi Long , Michael Patrick Bacus
IPC分类号： G06F17/00
CPC分类号： G06F17/30911
摘要： A Navigation Control File for XML (NCX) generation module receives an electronic media item comprising input text. The electronic media item may also comprise links, where each link comprises a source position and a target position. The NCX generation module generates an NCX file for the electronic media item based on the input text and whether the links within the electronic media item satisfy one or more rules.
摘要翻译：用于XML（NCX）生成模块的导航控制文件接收包括输入文本的电子媒体项目。电子媒体项目还可以包括链接，其中每个链接包括源位置和目标位置。 NCX生成模块基于输入文本生成用于电子媒体项目的NCX文件，以及电子媒体项目中的链接是否满足一个或多个规则。

2. 发明申请

US20080082468A1 Methods and systems for identifying and localizing objects based on features of the objects that are mapped to a vector 有权
标题翻译：基于映射到向量的对象的特征来识别和定位对象的方法和系统
公开(公告)号：US20080082468A1
公开(公告)日：2008-04-03
申请号：US11789571
申请日：2007-04-25
申请人： Xi Long , W. Louis Cleveland , Y. Yao
发明人： Xi Long , W. Louis Cleveland , Y. Yao
IPC分类号： G06F15/18
CPC分类号： G06K9/6269 , G06K9/00147 , G06K9/6256
摘要： A method of identifying and localizing objects belonging to one of three or more classes, includes deriving vectors, each being mapped to one of the objects, where each of the vectors is an element of an N-dimensional space. The method includes training an ensemble of binary classifiers with a CISS technique, using an ECOC technique. For each object corresponding to a class, the method includes calculating a probability that the associated vector belongs to a particular class, using an ECOC probability estimation technique. In another embodiment, increased detection accuracy is achieved by using images obtained with different contrast methods. A nonlinear dimensional reduction technique, Kernel PCA, was employed to extract features from the multi-contrast composite image. The Kernel PCA preprocessing shows improvements over traditional linear PCA preprocessing possibly due to its ability to capture high-order, nonlinear correlations in the high dimensional image space.
摘要翻译：一种识别和定位属于三个或更多类中的一个的对象的方法包括导出向量，每个向量被映射到一个对象，其中每个向量是N维空间的元素。该方法包括使用ECOC技术用CISS技术对二进制分类器进行训练。对于与类相对应的每个对象，该方法包括使用ECOC概率估计技术来计算关联向量属于特定类的概率。在另一个实施例中，通过使用用不同对比度方法获得的图像来实现提高的检测精度。采用非线性尺寸缩小技术Kernel PCA从多重对比度复合图像中提取特征。内核PCA预处理显示出比传统的线性PCA预处理更好的可能是由于其能够捕获高维非线性相关性的高维图像空间。

3. 发明申请

US20130178168A1 Multi-Band Matching Network for RF Power Amplifiers 审中-公开
标题翻译：射频功率放大器的多频带匹配网络
公开(公告)号：US20130178168A1
公开(公告)日：2013-07-11
申请号：US13347385
申请日：2012-01-10
申请人： Chunjie DUAN , Xi LONG , Koon Hoo TEO
发明人： Chunjie DUAN , Xi LONG , Koon Hoo TEO
IPC分类号： H04B1/38
CPC分类号： H03F1/565 , H03F3/193 , H03F3/245 , H03F2200/111 , H03F2200/387
摘要： A multi-band matching network for RF power amplifiers utilizes multiple impedance transformer branches connected in parallel. Each transformer branch achieves matching at one frequency band. A core of each transformer branch is connected between frequency blocking networks, which reject out-of-band signals.
摘要翻译：用于RF功率放大器的多频带匹配网络利用并联连接的多个阻抗变压器分支。每个变压器分支在一个频段实现匹配。每个变压器分支的核心连接在频率阻塞网络之间，这阻止了带外信号。

4. 发明授权

US08826169B1 Hiding content of a digital content item 有权
标题翻译：隐藏数字内容项目的内容
公开(公告)号：US08826169B1
公开(公告)日：2014-09-02
申请号：US13488071
申请日：2012-06-04
申请人： Sherif M. Yacoub , Xi Long , Ming Zhao , Xuping Zhang , Manikandan Gopalakrishnan
发明人： Sherif M. Yacoub , Xi Long , Ming Zhao , Xuping Zhang , Manikandan Gopalakrishnan
IPC分类号： G06F17/21 , G06F3/00 , G06F3/0488 , G06F17/30
CPC分类号： G06F3/0488 , G06F3/0483 , G06F17/30867 , G06F17/30899
摘要： In some implementations, content of a content item may be presented on an electronic device and a portion of the content item may be selected to be hidden from presentation. The electronic device may hide the selected portion of the content during presentation of the content. Further, selection information identifying at least the location of the selected portion of the content item may be communicated over a network to a computing device to enable synchronization of the hidden content with other instances of the content item on other devices of the user. In some examples, the user may select one or more chapters of the content item to be hidden by selecting one or more chapter identifiers in a table of contents of the content item. Hidden content may include text, images, audio and/or video content, depending on the type of content item that is accessed.
摘要翻译：在一些实现中，内容项目的内容可以呈现在电子设备上，并且内容项目的一部分可以被选择为隐藏以供呈现。电子设备可以在呈现内容期间隐藏内容的所选部分。此外，识别内容项目的所选部分的位置的选择信息可以通过网络传送到计算设备，以使隐藏内容与用户的其他设备上的内容项的其他实例同步。在一些示例中，用户可以通过选择内容项的内容表中的一个或多个章节标识符来选择要隐藏的内容项的一个或多个章节。隐藏的内容可以包括文本，图像，音频和/或视频内容，这取决于被访问的内容项的类型。

5. 发明授权

US07958063B2 Methods and systems for identifying and localizing objects based on features of the objects that are mapped to a vector 有权
标题翻译：基于映射到向量的对象的特征来识别和定位对象的方法和系统
公开(公告)号：US07958063B2
公开(公告)日：2011-06-07
申请号：US11789571
申请日：2007-04-25
申请人： Xi Long , W. Louis Cleveland , Y. Lawrence Yao
发明人： Xi Long , W. Louis Cleveland , Y. Lawrence Yao
IPC分类号： G06N5/00
CPC分类号： G06K9/6269 , G06K9/00147 , G06K9/6256
摘要： A method of identifying and localizing objects belonging to one of three or more classes, includes deriving vectors, each being mapped to one of the objects, where each of the vectors is an element of an N-dimensional space. The method includes training an ensemble of binary classifiers with a CISS technique, using an ECOC technique. For each object corresponding to a class, the method includes calculating a probability that the associated vector belongs to a particular class, using an ECOC probability estimation technique. In another embodiment, increased detection accuracy is achieved by using images obtained with different contrast methods. A nonlinear dimensional reduction technique, Kernel PCA, was employed to extract features from the multi-contrast composite image. The Kernel PCA preprocessing shows improvements over traditional linear PCA preprocessing possibly due to its ability to capture high-order, nonlinear correlations in the high dimensional image space.
摘要翻译：一种识别和定位属于三个或更多类中的一个的对象的方法包括导出向量，每个向量被映射到一个对象，其中每个向量是N维空间的元素。该方法包括使用ECOC技术用CISS技术对二进制分类器进行训练。对于与类相对应的每个对象，该方法包括使用ECOC概率估计技术来计算关联向量属于特定类的概率。在另一个实施例中，通过使用用不同对比度方法获得的图像来实现提高的检测精度。采用非线性尺寸缩小技术Kernel PCA从多重对比度复合图像中提取特征。内核PCA预处理显示出比传统的线性PCA预处理更好的可能是由于其能够捕获高维非线性相关性的高维图像空间。

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