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    • 1. 发明申请
    • LEARNING TO REORDER ALTERNATES BASED ON A USER'S PERSONALIZED VOCABULARY
    • 根据用户的个人化习惯学习重新选择
    • US20090006095A1
    • 2009-01-01
    • US11771018
    • 2007-06-29
    • Brian LeungMichael Revow
    • Brian LeungMichael Revow
    • G10L15/00G06F17/30
    • G06K9/222G06K9/6255
    • Learning to reorder alternates based on a user's personalized vocabulary may be provided. An alternate list provided to a user for replacing words input by the user via a character recognition application may be reordered based on data previously viewed or input by the user (personal data). The alternate list may contain generic data, for example, words for possible substitution with one or more words input by the user. By using the user's personal data and statistical learning methodologies in conjunction with generic data in the alternate list, the alternate list can be reordered to present a top alternate that more closely reflect the user's vocabulary. Accordingly, the user is presented with a top alternate that is more likely to be used by the user to replace data incorrectly input.
    • 可以提供基于用户的个性化词汇来学习重新排序交替。 提供给用户的用于替换由用户经由字符识别应用输入的字的替代列表可以基于用户先前查看或输入的数据(个人数据)重新排序。 备用列表可以包含通用数据,例如,用于用户输入的一个或多个单词的可能替换的单词。 通过将用户的个人数据和统计学习方法与备用列表中的通用数据结合使用,备用列表可以重新排序,以呈现更加反映用户词汇表的顶级替代。 因此,向用户呈现更可能被用户用来替换不正确输入的数据的顶替代。
    • 3. 发明申请
    • Collecting and utilizing user correction feedback to improve handwriting recognition
    • 收集和利用用户校正反馈来改善手写识别
    • US20070292031A1
    • 2007-12-20
    • US11455874
    • 2006-06-19
    • Brian LeungMichael RevowRichard K. Sailor
    • Brian LeungMichael RevowRichard K. Sailor
    • G06K9/00
    • G06K9/00436
    • Various technologies and techniques are disclosed for using user corrections to help improve handwriting recognition operations. The system tracks user corrections to recognition results. The system receives handwritten input from the user and performs a recognition operation to determine a top recognized word. The prior corrections made by the user are analyzed to calculate a ratio of times the user has corrected the top recognized word to a particular other word as opposed to correcting the particular other word to the top recognized word. If the ratio meets or exceeds a required minimum, then at least one secondary source is optionally analyzed to determine if the particular other word is used a certain number of times more frequently than the top recognized word in the secondary source. The system performs a swap of the top recognized word with the particular other word when the required criteria are met.
    • 公开了各种技术和技术来使用用户校正来帮助改进手写识别操作。 系统跟踪用户对识别结果的更正。 该系统从用户接收手写输入并执行识别操作以确定顶部识别的字。 对用户进行的先前校正进行分析,以计算用户将顶部识别的单词修正为特定其他单词的次数的比例,而不是将特定的其他单词校正为顶部识别的单词。 如果该比率满足或超过所需的最小值,则可选地分析至少一个次级源以确定该特定的其他单词是否比次要源中的顶部识别的单词频繁使用一定次数。 当满足所需的标准时,系统将使用特定的其他单词执行顶部识别的字的交换。
    • 4. 发明授权
    • Security system with embedded HTTP server
    • 具有嵌入式HTTP服务器的安全系统
    • US06643779B1
    • 2003-11-04
    • US09292179
    • 1999-04-15
    • Brian LeungWah Cheong Hui
    • Brian LeungWah Cheong Hui
    • G06F1130
    • H04L41/28H04L41/0253H04L63/168H04L63/20
    • A security system includes a network adapter that links the security system to a computer network infrastructure to establish a connection to the network. An embedded HTTP server receives and responses to the requests sent from any HTTP client having access to the computer network. A browser-based management module allows any HTTP client that is capable of accessing the computer network to setup and maintain the security system. A browser-based information query module allows any HTTP client that is capable to access the computer network to access the information of the security system.
    • 安全系统包括将安全系统链接到计算机网络基础设施以建立到网络的连接的网络适配器。 嵌入式HTTP服务器接收并响应从具有访问计算机网络的任何HTTP客户端发送的请求。 基于浏览器的管理模块允许任何能够访问计算机网络的HTTP客户端设置和维护安全系统。 基于浏览器的信息查询模块允许任何能够访问计算机网络的HTTP客户端访问安全系统的信息。
    • 5. 发明授权
    • Learning to reorder alternates based on a user'S personalized vocabulary
    • 学习根据用户的个性化词汇重新排列交替
    • US07813920B2
    • 2010-10-12
    • US11771018
    • 2007-06-29
    • Brian LeungMichael Revow
    • Brian LeungMichael Revow
    • G06F17/21
    • G06K9/222G06K9/6255
    • Learning to reorder alternates based on a user's personalized vocabulary may be provided. An alternate list provided to a user for replacing words input by the user via a character recognition application may be reordered based on data previously viewed or input by the user (personal data). The alternate list may contain generic data, for example, words for possible substitution with one or more words input by the user. By using the user's personal data and statistical learning methodologies in conjunction with generic data in the alternate list, the alternate list can be reordered to present a top alternate that more closely reflect the user's vocabulary. Accordingly, the user is presented with a top alternate that is more likely to be used by the user to replace data incorrectly input.
    • 可以提供基于用户的个性化词汇来学习重新排序交替。 提供给用户的用于替换由用户经由字符识别应用输入的字的替代列表可以基于用户先前查看或输入的数据(个人数据)重新排序。 备用列表可以包含通用数据,例如,用于用户输入的一个或多个单词的可能替换的单词。 通过将用户的个人数据和统计学习方法与备用列表中的通用数据结合使用,备用列表可以重新排序,以呈现更加反映用户词汇表的顶级替代。 因此,向用户呈现更可能被用户用来替换不正确输入的数据的顶替代。
    • 6. 发明申请
    • PROVIDING RELEVANT TEXT AUTO-COMPLETIONS
    • 提供相关文本自动完成
    • US20080294982A1
    • 2008-11-27
    • US11751121
    • 2007-05-21
    • Brian LeungQi Zhang
    • Brian LeungQi Zhang
    • G06F17/21G06F17/24
    • G06F17/276
    • A processing device, such as, for example, a tablet PC, or other processing device, may receive non-textual language input. The non-textual language input may be recognized to produce one or more textual characters. The processing device may generate a list including one or more prefixes based on the produced one or more textual characters. Multiple text auto-completion predictions may be generated based on multiple prediction data sources and the one or more prefixes. The multiple text auto-completion predictions may be ranked and sorted based on features associated with each of the text auto-completion predictions. The processing device may present a predetermined number of best text auto-completion predictions. A selection of one of the presented predetermined number of best text auto completion predictions may result in a word, currently being entered, being replaced by the selected one of the predetermined number of best text auto completion predictions.
    • 处理设备,例如平板电脑或其他处理设备,可以接收非文本语言输入。 可以识别非文本语言输入以产生一个或多个文本字符。 处理装置可以基于所生成的一个或多个文本字符来生成包括一个或多个前缀的列表。 可以基于多个预测数据源和一个或多个前缀来生成多个文本自动完成预测。 可以基于与每个文本自动完成预测相关联的特征对多个文本自动完成预测进行排序和排序。 处理装置可呈现预定数量的最佳文本自动完成预测。 所提出的预定数量的最佳文本自动完成预测之一的选择可以导致当前正在输入的单词被预定数量的最佳文本自动完成预测中的所选择的一个替换。
    • 7. 发明授权
    • Collecting and utilizing user correction feedback to improve handwriting recognition
    • 收集和利用用户校正反馈来改善手写识别
    • US07881534B2
    • 2011-02-01
    • US11455874
    • 2006-06-19
    • Brian LeungMichael RevowRichard K. Sailor
    • Brian LeungMichael RevowRichard K. Sailor
    • G06K9/18G06K9/00G06K9/72G10L15/00
    • G06K9/00436
    • Various technologies and techniques are disclosed for using user corrections to help improve handwriting recognition operations. The system tracks user corrections to recognition results. The system receives handwritten input from the user and performs a recognition operation to determine a top recognized word. The prior corrections made by the user are analyzed to calculate a ratio of times the user has corrected the top recognized word to a particular other word as opposed to correcting the particular other word to the top recognized word. If the ratio meets or exceeds a required minimum, then at least one secondary source is optionally analyzed to determine if the particular other word is used a certain number of times more frequently than the top recognized word in the secondary source. The system performs a swap of the top recognized word with the particular other word when the required criteria are met.
    • 公开了各种技术和技术来使用用户校正来帮助改进手写识别操作。 系统跟踪用户对识别结果的更正。 该系统从用户接收手写输入并执行识别操作以确定顶部识别的字。 对用户进行的先前校正进行分析,以计算用户将顶部识别的单词修正为特定其他单词的次数的比例,而不是将特定的其他单词校正为顶部识别的单词。 如果该比率满足或超过所需的最小值,则可选地分析至少一个次级源以确定该特定的其他单词是否比次要源中的顶部识别的单词频繁使用一定次数。 当满足所需的标准时,系统将使用特定的其他单词执行顶部识别的字的交换。