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    • 111. 发明申请
    • Software error report analysis
    • 软件错误报告分析
    • US20090006883A1
    • 2009-01-01
    • US11823213
    • 2007-06-27
    • Dongmei ZhangYingnong DangXiaohui HouSong HuangJian Wang
    • Dongmei ZhangYingnong DangXiaohui HouSong HuangJian Wang
    • G06F11/00
    • G06F11/366
    • 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).
    • 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。
    • 112. 发明申请
    • Combining online and offline recognizers in a handwriting recognition system
    • 将在线和离线识别器结合在手写识别系统中
    • US20090003706A1
    • 2009-01-01
    • US11823644
    • 2007-06-28
    • Xinjian ChenDongmei ZhangYu ZouMing ChangShi HanJian Wang
    • Xinjian ChenDongmei ZhangYu ZouMing ChangShi HanJian Wang
    • G06K9/00
    • G06K9/00973G06K9/6292G06K9/6296
    • 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.
    • 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。
    • 113. 发明申请
    • Feature Design for HMM Based Eastern Asian Character Recognition
    • 基于HMM的东亚字符识别功能设计
    • US20090003705A1
    • 2009-01-01
    • US11772032
    • 2007-06-29
    • Yu ZouMing ChangShi HanDongmei ZhangJian Wang
    • Yu ZouMing ChangShi HanDongmei ZhangJian Wang
    • G06K9/18
    • G06K9/00416G06K2209/011
    • An exemplary method for online character recognition of East Asian characters includes acquiring time sequential, online ink data for a handwritten East Asian character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten East Asian 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 Hidden Markov Model based character recognition system may use various exemplary methods for training and character recognition.
    • 用于东亚字符的在线字符识别的示例性方法包括获取用于手写东亚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,其中调节的墨水数据包括关于写入东方手写的顺序的信息 亚洲字符和从调节的墨水数据中提取特征,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。 基于示例性的基于隐马尔可夫模型的角色识别系统可以使用用于训练和角色识别的各种示例性方法。
    • 114. 发明申请
    • Picture line audio augmentation
    • 图片音频增强
    • US20060204214A1
    • 2006-09-14
    • US11079151
    • 2005-03-14
    • Mehul ShahDongmei ZhangVladimir Rovinsky
    • Mehul ShahDongmei ZhangVladimir Rovinsky
    • G11B27/00
    • G11B27/34G11B27/034G11B27/036
    • The subject invention provides a system and/or a method that facilitates creating an authored video with audio applied to at least one image/video segment within the authored video. An audio enhancement component can apply audio to at least one image/video segment, wherein an audio segment begins with a display of the image/video segment (e.g., an instance of displaying the image or video segment within the authored video). A segment-line can be utilized to provide audio to the image/video segment(s) within the authored video, wherein the segment-line can be a sequence of image/video segments chronologically ordered based upon a start and an end of the image/video clip.
    • 本发明提供了一种系统和/或方法,其有助于创建具有应用于创作视频内的至少一个图像/视频片段的音频的创作视频。 音频增强组件可以将音频应用于至少一个图像/视频片段,其中音频片段以图像/视频片段的显示(例如,在创作的视频内显示图像或视频片段的实例)开始。 可以利用分段线来向编辑的视频内的图像/视频片段提供音频,其中片段线可以是基于图像的开始和结束按时间顺序排列的图像/视频段的序列 /录像片段。