公开(公告)号：US20080172630A1

公开(公告)日：2008-07-17

申请号：US11820636

申请日：2007-06-20

申请人： Yingnong Dang ,  Dongmei Zhang ,  Min Wang ,  Xiaohui Hou ,  Jian Wang

发明人： Yingnong Dang ,  Dongmei Zhang ,  Min Wang ,  Xiaohui Hou ,  Jian Wang

IPC分类号： G06F3/048

CPC分类号： G06T11/206 ,  G06F21/577

摘要： A method for enabling graphical representation of aggregated data is provided. The method includes accessing aggregated data retrieved from a plurality of on-line sources and receiving selection of a portion of the data through a graphical user interface. The method further includes identifying attributes associated with the portion of the data and generating a graphical representation of the portion of the data.

摘要翻译： 提供了一种用于实现聚合数据的图形表示的方法。 该方法包括访问从多个在线源检索的聚合数据，并通过图形用户界面接收对部分数据的选择。 所述方法还包括识别与所述数据的所述部分相关联的属性并且生成所述数据的所述部分的图形表示。

公开(公告)号：US08315482B2

公开(公告)日：2012-11-20

申请号：US11821870

申请日：2007-06-26

申请人： Xiaohui Hou ,  Yingjun Qiu ,  Dongmei Zhang ,  Jian Wang

发明人： Xiaohui Hou ,  Yingjun Qiu ,  Dongmei Zhang ,  Jian Wang

IPC分类号： G06K9/54

CPC分类号： G06F17/242 ,  G06K9/00422

摘要： Described is a technology that provides an integrated platform for users to use different kinds of digital ink (e.g., handwritten characters, sketched shapes, handwritten formulas) when interacting with computer programs. The platform interprets the user's digital ink input and outputs one or more associated items into an application program. The output items can be customized for different application programs. In one aspect, the platform includes an ink panel having different operating modes for receiving digital ink, and a recognition service that recognizes different types of digital ink. The recognition service may include a unified recognizer that recognizes different types of digital ink, e.g., characters and shapes. Another recognizer may be included such as an equation recognizer. If the recognition result is text while in a non-text mode, the text may be used in a keyword search to locate items; otherwise, the recognition result may be used without keyword searching.

摘要翻译： 描述了一种为用户在与计算机程序交互时使用不同种类的数字墨水（例如手写字符，草图形状，手写公式）的集成平台的技术。 该平台解释用户的数字墨水输入并将一个或多个相关联的物品输出到应用程序中。 可以为不同的应用程序定制输出项。 一方面，平台包括具有用于接收数字墨水的不同操作模式的墨面板以及识别不同类型的数字墨水的识别服务。 识别服务可以包括识别不同类型的数字墨水的统一识别器，例如字符和形状。 可以包括另外的识别器，例如等式识别器。 如果识别结果是在非文本模式下的文本，则可以在关键词搜索中使用文本来定位项目; 否则，可以在没有关键词搜索的情况下使用识别结果。

公开(公告)号：US08234706B2

公开(公告)日：2012-07-31

申请号：US11820759

申请日：2007-06-20

申请人： Dongmei Zhang ,  Yingnong Dang ,  Xiaohui Hou ,  Song Huang ,  Jian Wang

发明人： Dongmei Zhang ,  Yingnong Dang ,  Xiaohui Hou ,  Song Huang ,  Jian Wang

IPC分类号： G06F11/00

CPC分类号： G06Q10/00

摘要： A method for enabling access to software security data is provided. The method includes accessing data associated with software vulnerabilities from a plurality of on-line sources. The method further includes aggregating the data from the plurality of on-line sources and identifying attributes associated with the data. The method also includes enabling access to the aggregated data through a graphical user interface that can be used to analyze the data according to the attributes.

摘要翻译： 提供了一种用于访问软件安全数据的方法。 该方法包括从多个在线源访问与软件漏洞相关联的数据。 该方法还包括聚合来自多个在线源的数据和识别与该数据相关联的属性。 该方法还包括通过可用于根据属性分析数据的图形用户界面来访问聚合数据。

公开(公告)号：US20090006883A1

公开(公告)日：2009-01-01

申请号：US11823213

申请日：2007-06-27

申请人： Dongmei Zhang ,  Yingnong Dang ,  Xiaohui Hou ,  Song Huang ,  Jian Wang

发明人： Dongmei Zhang ,  Yingnong Dang ,  Xiaohui Hou ,  Song Huang ,  Jian Wang

IPC分类号： G06F11/00

CPC分类号： G06F11/366

摘要： Described herein is technology for, among other things, accessing error report information. It involves various techniques and tools for analyzing and interrelating failure data contained in error reports and thereby facilitating developers to more easily and quickly solve programming bugs. Numerous parameters may also be specified for selecting and searching error reports. Several reliability metrics are provided to better track software reliability situations. The reliability metrics facilitate the tracking of the overall situation of failures that happen in the real word by providing metrics based on error reports (e.g., failure occurrence trends, failure distributions across different languages).

摘要翻译： 这里描述的是用于访问错误报告信息的技术。 它涉及用于分析和相互关联错误报告中包含的故障数据的各种技术和工具，从而方便开发人员更轻松，快速地解决编程错误。 还可以指定许多参数来选择和搜索错误报告。 提供了几个可靠性指标来更好地跟踪软件可靠性情况。 可靠性指标通过提供基于错误报告（例如，故障发生趋势，跨不同语言的故障分布）的度量来促进跟踪真实单词中发生的故障的总体情况。

公开(公告)号：US20090007271A1

公开(公告)日：2009-01-01

申请号：US11823546

申请日：2007-06-28

申请人： Song Huang ,  Yingnong Dang ,  Xiaohui Hou ,  Dongmei Zhang ,  Jian Wang

发明人： Song Huang ,  Yingnong Dang ,  Xiaohui Hou ,  Dongmei Zhang ,  Jian Wang

IPC分类号： G06F7/04

CPC分类号： G06F21/57 ,  G06F17/30864

摘要： A method for identifying a portion of aggregated software security data is described. The method includes accessing aggregated data associated with software vulnerabilities retrieved from a plurality of on-line sources. The method further includes searching a portion of the aggregated data for an exact match to a particular attribute of the data and searching the portion of the aggregated data for one or more partial matches associated with the particular attribute. The method also includes associating the portion of the data with the particular attribute based on the exact match of one or more of the partial matches.

摘要翻译： 描述了用于识别聚合的软件安全数据的一部分的方法。 该方法包括访问与从多个在线源检索的软件漏洞相关联的聚合数据。 所述方法还包括搜索所述聚合数据的一部分以与所述数据的特定属性精确匹配，并且搜索所述聚合数据的所述部分与所述特定属性相关联的一个或多个部分匹配。 该方法还包括基于一个或多个部分匹配的精确匹配将数据的该部分与特定属性相关联。

公开(公告)号：US20090003658A1

公开(公告)日：2009-01-01

申请号：US11821837

申请日：2007-06-26

申请人： Dongmei Zhang ,  Xiaohui Hou ,  Yingjun Qiu ,  Jian Wang

发明人： Dongmei Zhang ,  Xiaohui Hou ,  Yingjun Qiu ,  Jian Wang

IPC分类号： G06K9/00

CPC分类号： G06K9/00402 ,  G06F17/30253

摘要： Described is searching directly based on digital ink input to provide a result set of one or more items. Digital ink input (e.g., a handwritten character, sketched shape, gesture, drawing picture) is provided to a search engine and interpreted thereby, with a search result (or results) returned. Different kinds of digital ink can be used as search input without changing modes. The search engine includes a unified digital ink recognizer that recognizes digital ink as a character or another type of digital ink. When the recognition result is a character, the character may be used in a keyword search to find one or more corresponding non-character items, e.g., from a data store. When the recognition result is a non-character item, the non-character item is provided as the result, without keyword searching. The search result may appear as one or more item representations, such as in a user interface result panel.

摘要翻译： 描述的是基于数字墨水输入直接搜索以提供一个或多个项目的结果集。 将数字墨水输入（例如，手写字符，草图形状，手势，绘图图像）提供给搜索引擎，并由此返回搜索结果（或结果）。 不同类型的数字墨水可以用作搜索输入而不改变模式。 搜索引擎包括将数字墨水识别为字符或另一类型的数字墨水的统一数字墨水识别器。 当识别结果是字符时，可以在关键词搜索中使用该字符来查找例如来自数据存储的一个或多个相应的非字符项。 当识别结果是非字符项时，作为结果提供非字符项，而不进行关键字搜索。 搜索结果可以显示为一个或多个项目表示，例如在用户界面结果面板中。

公开(公告)号：US08363950B2

公开(公告)日：2013-01-29

申请号：US13426427

申请日：2012-03-21

申请人： Xinjian Chen ,  Dongmei Zhang ,  Yu Zou ,  Ming Chang ,  Shi Han ,  Jian Wang

发明人： Xinjian Chen ,  Dongmei Zhang ,  Yu Zou ,  Ming Chang ,  Shi Han ,  Jian Wang

IPC分类号： G06K9/00 ,  G06F17/00

CPC分类号： G06K9/00973 ,  G06K9/6292 ,  G06K9/6296

摘要： Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.

公开(公告)号：US20080205761A1

公开(公告)日：2008-08-28

申请号：US11680566

申请日：2007-02-28

申请人： Shi Han ,  Yu Zou ,  Ming Chang ,  Peng Liu ,  Yi-Jian Wu ,  Lei Ma ,  Frank Soong ,  Dongmei Zhang ,  Jian Wang

发明人： Shi Han ,  Yu Zou ,  Ming Chang ,  Peng Liu ,  Yi-Jian Wu ,  Lei Ma ,  Frank Soong ,  Dongmei Zhang ,  Jian Wang

IPC分类号： G06K9/18

CPC分类号： G06K9/6807 ,  G06K9/468 ,  G06K2209/01 ,  G06K2209/011

摘要： Exemplary techniques are described for selecting radical sets for use in probabilistic East Asian character recognition algorithms. An exemplary technique includes applying a decomposition rule to each East Asian character of the set to generate a progressive splitting graph where the progressive splitting graph comprises radicals as nodes, formulating an optimization problem to find an optimal set of radicals to represent the set of East Asian characters using maximum likelihood and minimum description length and solving the optimization problem for the optimal set of radicals. Another exemplary technique includes selecting an optimal set of radicals by using a general function that characterizes a radical with respect to other East Asian characters and a complex function that characterizes complexity of a radical.

摘要翻译： 描述了用于选择在概率东亚字符识别算法中使用的激进集合的示例性技术。 一个示例性的技术包括将分解规则应用于集合的每个东亚字符以生成逐行分割图，其中渐进分割图包括基数作为节点，制定优化问题以找到最佳的一组基团以表示东亚集 字符使用最大似然和最小描述长度，并解决优化问题的最佳组的自由基。 另一个示例性技术包括通过使用表征相对于其他东亚字符的基数的一般函数和表征激进的复杂度的复杂函数来选择最佳的自由基集合。

公开(公告)号：US08463043B2

公开(公告)日：2013-06-11

申请号：US13526236

申请日：2012-06-18

申请人： Yu Zou ,  Ming Chang ,  Shi Han ,  Dongmei Zhang ,  Jian Wang

发明人： Yu Zou ,  Ming Chang ,  Shi Han ,  Dongmei Zhang ,  Jian Wang

IPC分类号： G06K9/00 ,  G06K9/46

CPC分类号： G06K9/00416 ,  G06K2209/011

摘要： An exemplary method for online character recognition of characters includes acquiring time sequential, online ink data for a handwritten character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten character and extracting features from the conditioned ink data where the features include a tangent feature, a curvature feature, a local length feature, a connection point feature and an imaginary stroke feature. Such a method may determine neighborhoods for ink data and extract features for each neighborhood. An exemplary character recognition system may use various exemplary methods for training and character recognition.

摘要翻译： 用于字符的在线字符识别的示例性方法包括获取用于手写字符的时间顺序在线墨水数据，调节墨水数据以产生经调节的墨水数据，其中经调节的墨水数据包括关于写入手写字符的序列的信息并从 调节的油墨数据，其中特征包括切线特征，曲率特征，局部长度特征，连接点特征和假想笔划特征。 这种方法可以确定墨水数据的邻域并提取每个邻域的特征。 示例性字符识别系统可以使用用于训练和字符识别的各种示例性方法。

公开(公告)号：US08160362B2

公开(公告)日：2012-04-17

申请号：US13090242

申请日：2011-04-19

申请人： Xinjian Chen ,  Dongmei Zhang ,  Yu Zou ,  Ming Chang ,  Shi Han ,  Jian Wang

发明人： Xinjian Chen ,  Dongmei Zhang ,  Yu Zou ,  Ming Chang ,  Shi Han ,  Jian Wang

IPC分类号： G06K9/00 ,  G06F17/00

CPC分类号： G06K9/00973 ,  G06K9/6292 ,  G06K9/6296

摘要： Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.

摘要翻译： 描述了通过在线识别手写输入数据与离线识别和处理相结合以获得组合识别结果的技术。 通常，该组合提高了整体识别精度。 在一个方面，单独执行在线和离线识别以获得用于候选者（假设）的在线和离线角色级识别分数。 基于统计分析的组合算法，AdaBoost算法和/或基于神经网络的组合可以确定组合函数以组合分数以产生一个或多个结果的结果集。 可以执行在线和离线激进级别识别。 例如，HMM识别器可以生成用于构建激进图形的在线激进分数，然后使用离线激进识别分数进行重新分类。 然后，搜索折叠图中的路径以提供组合识别结果，例如对应于具有最高分数的路径。