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    • 2. 发明授权
    • Handwritten word recognition using nearest neighbor techniques that allow adaptive learning
    • 使用允许自适应学习的最近邻技术的手写字识别
    • US07697760B2
    • 2010-04-13
    • US11972913
    • 2008-01-11
    • Thomas Yu-Kiu KwokMichael Peter Perrone
    • Thomas Yu-Kiu KwokMichael Peter Perrone
    • G06K9/00G06K9/18G06K9/72
    • G06K9/00852
    • A handwritten word is transcribed into a list of possibly correct transcriptions of the handwritten word. The list contains a number of text words, and this list is compared with previously stored set of lists of text words. Based on a metric, one or more nearest neighbor lists are selected from the set. A decision is made, according to a number of combination rules, as to which text word in the nearest neighbor lists or the recently transcribed list is the best transcription of the handwritten word. This best transcription is selected as the appropriate text word transcription of the handwritten word. The selected word is compared to a true transcription of the selected word Machine learning techniques are used when the selected and true transcriptions differ. The machine learning techniques create or update rules that are used to determine which text word of the nearest neighbor lists or the recently transcribed list is the correct transcription of the handwritten word.
    • 手写词被转录成手写词的可能正确转录的列表。 该列表包含多个文本字,并将该列表与之前存储的文本列表集进行比较。 基于度量,从集合中选择一个或多个最近邻居列表。 根据多个组合规则,决定最近邻居列表中的哪个文本字或最近转录的列表是手写词的最佳转录。 这个最好的录音被选为手写词的适当的文字转录。 将所选择的词与所选择的词的真实转录进行比较当所选择的和真实的转录不同时,使用机器学习技术。 机器学习技术创建或更新用于确定最近邻居列表的文本字或最近转录的列表是手写字的正确转录的规则。
    • 5. 发明授权
    • Method for parallelizing software graphics geometry pipeline rendering
    • 软件图形几何管线渲染并行化的方法
    • US6088044A
    • 2000-07-11
    • US87093
    • 1998-05-29
    • Thomas Yu-Kiu KwokChandrasekhar NarayanaswamiBengt-Olaf Schneider
    • Thomas Yu-Kiu KwokChandrasekhar NarayanaswamiBengt-Olaf Schneider
    • G06F9/48G06F9/50G06F15/80
    • G06F9/4843G06F9/50
    • In a multiprocessor system, such as a graphics data processing system, a method is disclosed for processing input data in a data processor pipeline. The method includes steps of operating a main thread to store input data in an input buffer until the input buffer is full or the input data ends. If a child thread does not exist, the method creates a child thread and assigns the input buffer to the child thread for processing. If a child thread already exists, the method determines if the child thread can be assigned the input buffer and, if so, then assigns the input buffer to the child thread for processing. If the child thread cannot be assigned the input buffer for processing, the main thread assigns the input buffer to itself for processing in parallel with processing being performed by the child thread. The steps of assigning and determining employ local variables that are accessible to both the main thread and the child thread, and that do not require an operating system call to change and/or test. The method includes a further step of sending a processed data buffer to a subsequent processing stage of the pipeline, such as a rasterizer unit. In a preferred embodiment the step of sending is executed only by the child thread, whether the data buffer was processed by the child thread or by the main thread.
    • 在诸如图形数据处理系统的多处理器系统中,公开了一种用于处理数据处理器流水线中的输入数据的方法。 该方法包括以下步骤:操作主线程以将输入数据存储在输入缓冲器中,直到输入缓冲器满或输入数据结束为止。 如果子线程不存在,该方法将创建一个子线程,并将输入缓冲区分配给子线程进行处理。 如果子线程已经存在,则该方法确定是否可以为子线程分配输入缓冲区,如果是,则将该输入缓冲区分配给子线程进行处理。 如果子线程不能被分配用于处理的输入缓冲器,则主线程将输入缓冲器分配给自身进行并行处理,由子线程执行的处理。 分配和确定的步骤使用主线程和子线程可访问的局部变量,并且不需要操作系统调用来更改和/或测试。 该方法包括将处理后的数据缓冲器发送到流水线的后续处理阶段的另一步骤,例如光栅化器单元。 在优选实施例中,发送步骤仅由子线程执行,数据缓冲器是否由子线程或主线程处理。
    • 6. 发明授权
    • Method and apparatus for parallel rasterization
    • 并行光栅化的方法和装置
    • US5786826A
    • 1998-07-28
    • US592046
    • 1996-01-26
    • Thomas Yu-Kiu Kwok
    • Thomas Yu-Kiu Kwok
    • G06F3/153G06F15/00G06T11/20G06T15/80G06F15/80
    • G06T15/80
    • Graphics systems manipulate data embodying one or more objects for display. The objects are typically represented by a plurality of faces. In order to rasterize an object for display utilizing a plurality of rasterization engines, the present invention partitions at least one face of the object into a plurality of sub-faces according to a first cost function representing cost of rasterizing the face, and assigns the sub-faces to the plurality of rasterization engines for rasterization. The rasterization engines rasterize the sub-faces to generate pixel data representing the object for display. The partitioning of the face of the object into the plurality of sub-faces may be based upon a second cost function representing cost of rasterizing at least one of the sub-faces. Preferably, each of the sub-faces has equal rasterization cost and each of the sub-faces do not overlap one another.
    • 图形系统操纵体现一个或多个物体的数据进行显示。 对象通常由多个面部表示。 为了利用多个光栅化引擎来光栅化用于显示的对象,本发明根据代表光面化成本的第一代价函数将对象的至少一个面分成多个子面,并且分配子 表面到多个光栅化引擎用于光栅化。 光栅化引擎光栅化子面以生成表示要显示的对象的像素数据。 将对象的面部划分成多个子表面可以基于代表光栅化至少一个子表面的成本的第二成本函数。 优选地,每个子表面具有相同的光栅化成本,并且每个子表面彼此不重叠。
    • 8. 发明授权
    • Systems and methods to extract data automatically from a composite electronic document
    • 从复合电子文档自动提取数据的系统和方法
    • US08140468B2
    • 2012-03-20
    • US12132845
    • 2008-06-04
    • Thomas Yu-Kiu KwokThao Ngoc NguyenKakan Roy
    • Thomas Yu-Kiu KwokThao Ngoc NguyenKakan Roy
    • G06F7/00G06K9/46
    • G06Q10/10
    • A system and method for automatically extracting contract data from electronic contracts includes an administrator module configured to provide templates for inputting document patterns and a list of contract data tags for each of a plurality of contract document types. A parser is configured to convert an electronic contract document into a contract text document and reformat the contract text document to provide a pattern for the text contract document. A pattern recognition engine is configured to determine a list of contract document types in the electronic contract by comparing and matching patterns of all known contract document types with the pattern of the contract text document. A contract data extraction engine is configured to extract contract data for each contract document type on the list.
    • 用于从电子合同自动提取合同数据的系统和方法包括:管理员模块,被配置为提供用于输入文档模式的模板和用于多个合同文档类型中的每一个的合同数据标签的列表。 解析器被配置为将电子合同文档转换成合同文本文档并重新格式化合同文本文档以提供文本合同文档的模式。 模式识别引擎被配置为通过将所有已知合同文档类型的模式与合同文本文档的模式进行比较和匹配来确定电子合同中的合同文档类型的列表。 合同数据提取引擎被配置为提取列表中每个合同文档类型的合同数据。
    • 10. 发明申请
    • Systems and methods to extract data automatically from a composite electronic document
    • 从复合电子文档自动提取数据的系统和方法
    • US20070300295A1
    • 2007-12-27
    • US11472868
    • 2006-06-22
    • Thomas Yu-Kiu KwokThao Ngoc NguyenKakan Roy
    • Thomas Yu-Kiu KwokThao Ngoc NguyenKakan Roy
    • H04L9/32
    • G06Q10/10
    • A system and method for automatically extracting contract data from electronic contracts includes an administrator module configured to provide templates for inputting document patterns and a list of contract data tags for each of a plurality of contract document types. A parser is configured to convert an electronic contract document into a contract text document and reformat the contract text document to provide a pattern for the text contract document. A pattern recognition engine is configured to determine a list of contract document types in the electronic contract by comparing and matching patterns of all known contract document types with the pattern of the contract text document. A contract data extraction engine is configured to extract contract data for each contract document type on the list.
    • 用于从电子合同自动提取合同数据的系统和方法包括:管理员模块,被配置为提供用于输入文档模式的模板和用于多个合同文档类型中的每一个的合同数据标签的列表。 解析器被配置为将电子合同文档转换成合同文本文档并重新格式化合同文本文档以提供文本合同文档的模式。 模式识别引擎被配置为通过将所有已知合同文档类型的模式与合同文本文档的模式进行比较和匹配来确定电子合同中的合同文档类型的列表。 合同数据提取引擎被配置为提取列表中每个合同文档类型的合同数据。