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    • 44. 发明授权
    • Massively parallel image restoration with preservation of sharp
boundaries
    • 大量平行的图像恢复,保护边界清晰
    • US5647028A
    • 1997-07-08
    • US487709
    • 1995-06-07
    • Murali M. Menon
    • Murali M. Menon
    • G06T1/40G06T5/20G06K9/40
    • G06T5/20
    • An image restoration apparatus for reconstructing an actual image from a measurement field image containing noise, the apparatus including means for storing image data for a restoration field; means for storing the measurement field image; means for solving a dynamical system equation for the image data, wherein the dynamical system equation is based on an energy function for a system made up of a restoration field variable and the measurement field image, wherein the energy function contains a surround term E.sub.s which represents local interactions within the restoration field, and wherein the local interactions are characterized by sigmoid-like functions.
    • 一种用于从包含噪声的测量场图像重建实际图像的图像恢复装置,该装置包括用于存储恢复场的图像数据的装置; 用于存储测量场图像的装置; 用于求解图像数据的动力系统方程式的装置,其中所述动力系统方程式基于由恢复场变量和所述测量场图像组成的系统的能量函数,其中所述能量函数包含表示 恢复区内的局部相互作用,其中局部相互作用的特征在于类似S的功能。
    • 45. 发明授权
    • Pattern recognition system with statistical classification
    • 模式识别系统具有统计分类
    • US5537488A
    • 1996-07-16
    • US122705
    • 1993-09-16
    • Murali M. MenonEric R. Boudreau
    • Murali M. MenonEric R. Boudreau
    • G06K9/62G06K9/00
    • G06K9/6222G06K9/6276
    • A pattern recognition system is described. During training, multiple training input patterns from multiple classes of subjects are grouped into clusters within categories by computing correlations between the training patterns and present category definitions. After training, each category is labeled in accordance with the peak class of patterns received within the cluster of the category. If the domination of the peak class over the other classes in the category exceeds a preset threshold, then the peak class defines the category. If the contrast does not exceed the threshold, then the category is defined as unknown. The class statistics for each category are stored in the form of a training class histogram for the category. During testing, frames of test data are received from a subject and are correlated with the category definitions. Each frame is associated with the training class histogram for the closest correlated category. For multiple-frame processing, the histograms are combined into a single observation class histogram which identifies the subject with its peak class within a predefined degree of confidence. The system is incrementally trainable such that new training data can be added without retraining the system.
    • 描述了模式识别系统。 在训练期间,通过计算训练模式与当前类别定义之间的相关性,将多类科目的多种训练输入模式分组到分类内。 经过培训,每个类别都按照类别集群内收到的模式的最高等级标注。 如果峰值类别与类别中其他类别的统治超过预设阈值,则峰值类定义该类别。 如果对比度不超过阈值,则该类别被定义为未知。 每个类别的类统计信息以类别的训练类直方图的形式存储。 在测试期间,从主题接收测试数据的帧,并与类别定义相关。 每个帧与最近相关类别的训练类直方图相关联。 对于多帧处理,将直方图组合成单个观察类直方图,其在预定义的置信度内以其峰值类别识别被摄体。 该系统是可逐步训练的,从而可以添加新的训练数据,而无需重新训练系统。
    • 48. 发明授权
    • Database fragment cloning and management
    • 数据库片段克隆和管理
    • US07890508B2
    • 2011-02-15
    • US11207482
    • 2005-08-19
    • Robert H. GerberBalan Sethu RamanJames R. HamiltonJohn F. LudemanMurali M. KrishnaSamuel H. SmithShrinivas Ashwin
    • Robert H. GerberBalan Sethu RamanJames R. HamiltonJohn F. LudemanMurali M. KrishnaSamuel H. SmithShrinivas Ashwin
    • G06F7/00G06F17/30
    • G06F17/30362G06F11/2094G06F11/2097G06F2201/80
    • Mechanisms and techniques for database fragment cloning and management are provided. A database object, such as a table, rowset or index, is divided into fragments. Each fragment is cloned to create cloned fragments, which operationally are substantially identical to one another. One or more of the cloned fragments may be designated as a primary cloned fragment for performing database operations or as a secondary cloned fragment for serving as backup. Updates to each fragment are implemented on the primary cloned fragment and are then propagated from the primary cloned fragment to the corresponding secondary cloned fragments. A cloned fragment can go offline, becoming unavailable to be updated. When the cloned fragment returns online, the cloned fragment is refreshed with data included in the primary cloned fragment. While being refreshed, the cloned fragment may continue to be updated. The cloned fragment is eligible to be designated as a primary cloned fragment when the refreshing process has been completed.
    • 提供了数据库片段克隆和管理的机制和技术。 数据库对象(如表,行集或索引)被划分成片段。 克隆每个片段以产生克隆的片段,其在操作上基本上彼此相同。 可以将一个或多个克隆的片段指定为用于执行数据库操作的主要克隆片段或用作备份的辅助克隆片段。 对每个片段的更新在主要克隆片段上实现,然后从主要克隆片段扩增到相应的次级克隆片段。 克隆片段可以脱机,不可更新。 当克隆片段返回联机时,克隆片段将使用包含在主克隆片段中的数据进行刷新。 刷新时,克隆片段可能会继续更新。 当刷新过程完成时,克隆片段有资格被指定为主要的克隆片段。
    • 50. 发明申请
    • SMART IDENTIFIERS
    • US20080177772A1
    • 2008-07-24
    • US11625057
    • 2007-01-19
    • Murali M. KaramcheduJeffrey B. Sponaugle
    • Murali M. KaramcheduJeffrey B. Sponaugle
    • G06F17/00
    • G06F21/6209G06F17/30011
    • Embodiments of the present invention provide methods and apparatuses for providing unique smart identifiers for entities of various entity types, such as documents or portions thereof. Each smart identifier comprises one or more data values provided by a requester of the smart identifier, or data values derived there from. The generation may be entity type based and/or customized. Embodiments include registration of custom smart identifier generation functions, with particular parameter data value requirements for particular entity types. Embodiments include smart identifier requesters inquiring about, and receiving answers to parameter data values required to generate smart identifiers for entities of various entity types.
    • 本发明的实施例提供了用于为诸如文档或其部分的各种实体类型的实体提供唯一的智能标识符的方法和装置。 每个智能标识符包括由智能标识符的请求者提供的一个或多个数据值,或从其导出的数据值。 生成可以是基于实体类型和/或定制的。 实施例包括定制智能标识符生成功能的注册,以及特定实体类型的特定参数数据值要求。 实施例包括智能标识符请求者查询和接收为各种实体类型的实体生成智能标识符所需的参数数据值的答案。