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    • 3. 发明授权
    • Data classification using machine learning techniques
    • 数据分类采用机器学习技术
    • US08239335B2
    • 2012-08-07
    • US13033536
    • 2011-02-23
    • Mauritius A. R. SchmidtlerRoland Borrey
    • Mauritius A. R. SchmidtlerRoland Borrey
    • G06E1/00G06E3/00G06F15/18G06G7/00
    • G06F17/30707G06N99/005
    • A system and article of manufacture enabling adapting to a shift in document content according to one embodiment of the present invention includes instructions for: receiving at least one labeled seed document; receiving unlabeled documents; receiving at least one predetermined cost factor; training a transductive classifier using the at least one predetermined cost factor, the at least one seed document, and the unlabeled documents; classifying the unlabeled documents having a confidence level above a predefined threshold into a plurality of categories using the classifier; reclassifying at least some of the categorized documents into the categories using the classifier; and outputting identifiers of the categorized documents to at least one of a user, another system, and another process. Systems and articles of manufacture for separating documents are also presented. Systems and articles of manufacture for document searching are also presented.
    • 根据本发明的一个实施例的能够适应文档内容的移动的系统和制品包括用于:接收至少一个标记的种子文档的指令; 收到未标记的文件; 接收至少一个预定的成本因子; 使用所述至少一个预定成本因素,所述至少一个种子文档和所述未标记的文档来训练转换分类器; 使用分类器将具有高于预定义阈值的置信水平的未标记文档分类成多个类别; 使用分类器将至少一些分类文档重新分类为类别; 以及将分类文档的标识符输出到用户,另一系统和另一进程中的至少一个。 还介绍了分离文件的系统和制造。 还提供了用于文档搜索的系统和制品。
    • 4. 发明授权
    • Data classification methods using machine learning techniques
    • 使用机器学习技术的数据分类方法
    • US07937345B2
    • 2011-05-03
    • US11752719
    • 2007-05-23
    • Mauritius A. R. SchmidtlerRoland Borrey
    • Mauritius A. R. SchmidtlerRoland Borrey
    • G06F15/18
    • G06F17/30707G06N99/005
    • A method for adapting to a shift in document content according to one embodiment of the present invention includes receiving at least one labeled seed document; receiving unlabeled documents; receiving at least one predetermined cost factor; training a transductive classifier using the at least one predetermined cost factor, the at least one seed document, and the unlabeled documents; classifying the unlabeled documents having a confidence level above a predefined threshold into a plurality of categories using the classifier; reclassifying at least some of the categorized documents into the categories using the classifier; and outputting identifiers of the categorized documents to at least one of a user, another system, and another process. Methods for separating documents are also presented. Methods for document searching are also presented.
    • 根据本发明的一个实施例的用于适应文档内容的偏移的方法包括:接收至少一个标记的种子文档; 收到未标记的文件; 接收至少一个预定的成本因子; 使用所述至少一个预定成本因素,所述至少一个种子文档和所述未标记的文档来训练转换分类器; 使用分类器将具有高于预定义阈值的置信水平的未标记文档分类成多个类别; 使用分类器将至少一些分类文档重新分类为类别; 以及将分类文档的标识符输出到用户,另一系统和另一进程中的至少一个。 还提供了分离文件的方法。 还提供了文档搜索的方法。
    • 7. 发明申请
    • DATA CLASSIFICATION METHODS USING MACHINE LEARNING TECHNIQUES
    • 使用机器学习技术的数据分类方法
    • US20080086433A1
    • 2008-04-10
    • US11752719
    • 2007-05-23
    • Mauritius A.R. SchmidtlerRoland Borrey
    • Mauritius A.R. SchmidtlerRoland Borrey
    • G06F15/18G06F17/30
    • G06F17/30707G06N99/005
    • A method for adapting to a shift in document content according to one embodiment of the present invention includes receiving at least one labeled seed document; receiving unlabeled documents; receiving at least one predetermined cost factor; training a transductive classifier using the at least one predetermined cost factor, the at least one seed document, and the unlabeled documents; classifying the unlabeled documents having a confidence level above a predefined threshold into a plurality of categories using the classifier; reclassifying at least some of the categorized documents into the categories using the classifier; and outputting identifiers of the categorized documents to at least one of a user, another system, and another process. Methods for separating documents are also presented. Methods for document searching are also presented.
    • 根据本发明的一个实施例的用于适应文档内容的偏移的方法包括:接收至少一个标记的种子文档; 收到未标记的文件; 接收至少一个预定的成本因子; 使用所述至少一个预定成本因素,所述至少一个种子文档和所述未标记的文档来训练转换分类器; 使用分类器将具有高于预定义阈值的置信水平的未标记文档分类成多个类别; 使用分类器将至少一些分类文档重新分类为类别; 以及将分类文档的标识符输出到用户,另一系统和另一进程中的至少一个。 还提供了分离文件的方法。 还提供了文档搜索的方法。
    • 10. 发明授权
    • Virtual rescanning: a method for interactive document image quality enhancement
    • 虚拟重新扫描:提高交互式文档图像质量的方法
    • US06370277B1
    • 2002-04-09
    • US09206753
    • 1998-12-07
    • Roland BorreyAnthony Macciola
    • Roland BorreyAnthony Macciola
    • G06T1140
    • H04N1/00241H04N1/00236H04N1/0035H04N1/0044H04N1/00482H04N2201/0098
    • According to the present invention, an image processing system for processing scanned images using a user predefined parameters and acceptable tolerances. When a scanned image falls outside the scope of the predefined parameter tolerances, the system invokes a real-time user interactive process which involves a continuous looping back process comprising prompting the user for image setting data, loading the image data from a fast memory device such as a cache, generating processed image data and displaying the processed image data on a display terminal, prompting the user for acceptance of the processed image data. This process loops back to the beginning until the user accepts the processed image data. This invention provides the user with an efficient and time saving method of scanning documents by precluding the user having to physically reload the document into the scanner should the scanned quality be unacceptable, and an interactive method to set the attributes of a paper scanner.
    • 根据本发明,一种用于使用用户预定义参数和可接受公差来处理扫描图像的图像处理系统。 当扫描图像超出预定义的参数公差的范围时,系统调用实时用户交互过程,其涉及连续循环处理,其包括提示用户图像设置数据,从快速存储设备加载图像数据,如 作为高速缓存,生成经处理的图像数据并在显示终端上显示处理的图像数据,提示用户接受处理的图像数据。 该过程循环回到开始,直到用户接受处理的图像数据。 本发明为用户提供了一种有效和省时的扫描文档的方法,其方法是排除用户必须在扫描质量不可接受的情况下物理地将文档重新加载到扫描仪中,以及设置纸张扫描仪的属性的交互方法。