专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

51. 发明授权

US08315482B2 Integrated platform for user input of digital ink 有权
标题翻译：用于数字墨水用户输入的集成平台
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。

52. 发明申请

US20120278658A1 Analyzing Software Performance Issues 有权
标题翻译：分析软件性能问题
公开(公告)号：US20120278658A1
公开(公告)日：2012-11-01
申请号：US13095269
申请日：2011-04-27
申请人： Shi Han , Yingnong Dang , Song Ge , Dongmei Zhang , Bin Zhao , Feng Liang , Chao Bian , Xiangpeng Zhao , Cong Chen , Hang Li , Prashant Ratanchandani
发明人： Shi Han , Yingnong Dang , Song Ge , Dongmei Zhang , Bin Zhao , Feng Liang , Chao Bian , Xiangpeng Zhao , Cong Chen , Hang Li , Prashant Ratanchandani
IPC分类号： G06F11/36
CPC分类号： G06F11/3636
摘要： Execution traces are collected from multiple execution instances that exhibit performance issues such as slow execution. Call stacks are extracted from the execution traces, and the call stacks are mined to identify frequently occurring function call patterns. The call patterns are then clustered, and used to identify groups of execution instances whose performance issues may be caused by common problematic program execution patterns.
摘要翻译：从执行缓慢执行的性能问题的多个执行实例中收集执行跟踪。从执行跟踪中提取调用堆栈，并且调用堆栈被挖掘以识别经常出现的函数调用模式。呼叫模式然后被聚集，并用于识别其性能问题可能由常见的有问题的程序执行模式引起的执行实例组。

53. 发明授权

US08234706B2 Enabling access to aggregated software security information 有权
标题翻译：启用访问聚合的软件安全信息
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。

54. 发明申请

US20120183223A1 COMBINING ONLINE AND OFFLINE RECOGNIZERS IN A HANDWRITING RECOGNITION SYSTEM 有权
标题翻译：在手持识别系统中组合在线和离线识别器
公开(公告)号：US20120183223A1
公开(公告)日：2012-07-19
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： G06K9/62
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。

55. 发明申请

US20110246968A1 Code-Clone Detection and Analysis 有权
标题翻译：代码克隆检测与分析
公开(公告)号：US20110246968A1
公开(公告)日：2011-10-06
申请号：US12752942
申请日：2010-04-01
申请人： Dongmei Zhang , Yingnong Dang , Yingjun Qiu , Song Ge
发明人： Dongmei Zhang , Yingnong Dang , Yingjun Qiu , Song Ge
IPC分类号： G06F9/44
CPC分类号： G06F8/751 , G06F8/71 , G06F8/75
摘要： Techniques for detecting, analyzing, and/or reporting code clone are described herein. In one or more implementations, clone-code detection is performed on one or more source code bases to find true and near clones of a subject code snippet that a user (e.g., a software developer) expressly or implicitly selected. In one or more other implementations, code clone is analyzed to estimate the code-improvement-potential (such as bug-potential and code-refactoring-potential) properties of clones. One or more other implementations present the results of code clone analysis with indications (e.g., rankings) of the estimated properties of the respective the clones.
摘要翻译：本文描述了用于检测，分析和/或报告代码克隆的技术。在一个或多个实现中，在一个或多个源代码库上执行克隆代码检测，以找到用户（例如，软件开发者）明确或隐含地选择的主题代码段的真实和近似克隆。在一个或多个其他实现中，分析代码克隆以估计克隆的代码提高潜力（诸如错误潜力和代码重构 - 潜在）性质。一个或多个其他实施方案通过相应克隆的估计性质的指示（例如，排名）呈现代码克隆分析的结果。

56. 发明申请

US20110194771A1 COMBINING ONLINE AND OFFLINE RECOGNIZERS IN A HANDWRITING RECOGNITION SYSTEM 有权
标题翻译：在手持识别系统中组合在线和离线识别器
公开(公告)号：US20110194771A1
公开(公告)日：2011-08-11
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
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。

57. 发明申请

US20100231595A1 LARGE SCALE DATA VISUALIZATION WITH INTERACTIVE CHART 有权
标题翻译：大规模数据可视化与交互式图
公开(公告)号：US20100231595A1
公开(公告)日：2010-09-16
申请号：US12404102
申请日：2009-03-13
申请人： Yingnong Dang , Min Wang , Xiao Yang , Dongmei Zhang , Jian Wang
发明人： Yingnong Dang , Min Wang , Xiao Yang , Dongmei Zhang , Jian Wang
IPC分类号： G06T11/20 , G06F3/048
CPC分类号： G06F17/30554 , G06F17/30592 , G06F17/30994
摘要： This disclosure describes a user interface and techniques for an interactive graphical representation of large scale data on a display. The disclosure describes how large scale data may be viewed using multiple linked charts. In one implementation, a user interface comprises an overview chart. The user may use chart controller(s) to designate one or more portions of the overview chart viewable in subsequent charts. The user may navigate between the overview chart and the subsequent charts using the chart controller(s).
摘要翻译：本公开描述了用于在显示器上用于大规模数据的交互式图形表示的用户界面和技术。本公开描述了如何使用多个链接图来查看大规模数据。在一个实现中，用户界面包括概览图。用户可以使用图表控制器指定后续图表中可见的概览图表的一个或多个部分。用户可以使用图表控制器在概览图表和后续图表之间导航。

58. 发明申请

US20100205120A1 PLATFORM FOR LEARNING BASED RECOGNITION RESEARCH 有权
标题翻译：基于学习的识别研究平台
公开(公告)号：US20100205120A1
公开(公告)日：2010-08-12
申请号：US12366655
申请日：2009-02-06
申请人： Yu Zou , Hao Wei , Gong Cheng , Dongmei Zhang , Jian Wang
发明人： Yu Zou , Hao Wei , Gong Cheng , Dongmei Zhang , Jian Wang
IPC分类号： G06F15/18 , G06K9/62 , G10L15/00 , G06K9/46
CPC分类号： G06K9/6253 , G10L15/063
摘要： A method for researching and developing a recognition model in a computing environment, including gathering one or more data samples from one or more users in the computing environment into a training data set used for creating the recognition model, receiving one or more training parameters defining a feature extraction algorithm configured to analyze one or more features of the training data set, a classifier algorithm configured to associate the features to a template set, a selection of a subset of the training data set, a type of the data samples, or combinations thereof, creating the recognition model based on the training parameters, and evaluating the recognition model.
摘要翻译：一种用于在计算环境中研究和开发识别模型的方法，包括将来自所述计算环境中的一个或多个用户的一个或多个数据样本收集到用于创建所述识别模型的训练数据集中，接收定义一个或多个训练参数的训练参数特征提取算法，其被配置为分析训练数据集的一个或多个特征，分类器算法，被配置为将特征与模板集合相关联，训练数据集的子集的选择，数据样本的类型或其组合，基于训练参数创建识别模型，并对识别模型进行评估。

59. 发明申请

US20090118020A1 METHOD AND DEVICE FOR SENDING AND RECEIVING GAME CONTENT INCLUDING DOWNLOAD THEREOF 审中-公开
标题翻译：用于发送和接收游戏内容的方法和装置，包括下载
公开(公告)号：US20090118020A1
公开(公告)日：2009-05-07
申请号：US12064300
申请日：2005-08-25
申请人： Ari M. Koivisto , Eero Rasanen , Yi Wu , Jian Ma , Hui Huang , Dongmei Zhang , Juha Arrasvuori , Jukka Holm , Antti Eronen , Ville-Veikko Mattila , Jouka Mattila , Jyri P. Salomaa , Ville Kankainen
发明人： Ari M. Koivisto , Eero Rasanen , Yi Wu , Jian Ma , Hui Huang , Dongmei Zhang , Juha Arrasvuori , Jukka Holm , Antti Eronen , Ville-Veikko Mattila , Jouka Mattila , Jyri P. Salomaa , Ville Kankainen
IPC分类号： A63F9/24
CPC分类号： A63F13/338 , A63F13/12 , A63F13/332 , A63F13/355 , A63F13/77 , A63F13/92 , A63F2300/204 , A63F2300/409 , A63F2300/552 , H04H20/57 , H04H20/91 , H04H20/95 , H04H60/68 , H04L67/04 , H04L67/38 , H04N21/41407 , H04N21/4781 , H04N21/6131 , H04N21/64315
摘要： The present invention generally relates to methods and devices as well as handheld stations and computer program products for sending video game content to handheld mobile terminals, comprising broadcasting common video game content to handheld mobile communication terminals via a digital video broadcast handheld channel, to enable said handheld mobile terminals to execute video game applications.
摘要翻译：本发明一般涉及用于向手持移动终端发送视频游戏内容的手持站和计算机程序产品，包括通过数字视频广播手持通道向手持移动通信终端广播公共视频游戏内容，以使所述手持移动终端执行视频游戏应用。

60. 发明申请

US20090006883A1 Software error report analysis 有权
标题翻译：软件错误报告分析
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。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式