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    • 41. 发明授权
    • Correlating protocol events in distributed applications
    • 在分布式应用程序中关联协议事件
    • US06618766B1
    • 2003-09-09
    • US09408734
    • 1999-09-29
    • Kave Eshghi
    • Kave Eshghi
    • G06F946
    • H04L69/32H04L67/10H04L69/329
    • Mechanisms for correlating protocol events in a distributed application to the high level transactions that caused the protocol events. The mechanisms for correlating include a set of protocol sensors which are associated with the components of the distributed application. Each protocol sensor detects the protocol events generated by its corresponding component of the distributed application. The detection of protocol events by the protocol sensors is non-invasive in that it does not require recoding or recompilation of software components or redesign or modification of hardware components. The mechanisms for correlating also include a set of event correlators associated with the protocol sensors. Each event correlator uses the results of a prior training phase for the distributed application to determine which of a set of high level transactions in the distributed application caused the corresponding protocol events.
    • 将分布式应用程序中的协议事件与导致协议事件的高级事务相关联的机制。 关联的机制包括与分布式应用的组件相关联的一组协议传感器。 每个协议传感器检测由其分布式应用程序的相应组件生成的协议事件。 协议传感器对协议事件的检测是非侵入性的,因为它不需要重新编码或重新编译软件组件或重新设计或修改硬件组件。 用于相关的机制还包括与协议传感器相关联的一组事件相关器。 每个事件相关器使用分布式应用程序的先前训练阶段的结果来确定分布式应用程序中的一组高级别事务中的哪一个导致相应的协议事件。
    • 44. 发明授权
    • Identifying related objects in a computer database
    • 识别计算机数据库中的相关对象
    • US08972410B2
    • 2015-03-03
    • US12463972
    • 2009-05-11
    • Kave EshghiShyam Sundar RajaramCharlie DagliIra Cohen
    • Kave EshghiShyam Sundar RajaramCharlie DagliIra Cohen
    • G06F7/00G06F17/30
    • G06F17/30607G06F17/30271G06F17/3069
    • Provided are, among other things, systems, methods and techniques for identifying related objects in a computer database. In one representative implementation: (a) a feature vector that describes an existing object is obtained; (b) comparison scores are generated between the feature vector and various sample vectors; (c) a set that includes at least one designated vector is identified from among the sample vectors by evaluating the generated comparison scores; (d) a computer database is searched for matches between label(s) for the designated vector(s) and labels for representative vectors for other objects represented in the computer database; and (e) at least one related object is identified based on the identified match(es).
    • 除其他之外,提供用于识别计算机数据库中的相关对象的系统,方法和技术。 在一个代表性实现中:(a)获得描述现有对象的特征向量; (b)特征向量与各种样本向量之间产生比较分数; (c)通过评估生成的比较分数,从样本向量中识别包括至少一个指定向量的集合; (d)搜索计算机数据库以查找用于指定向量的标签与用于计算机数据库中表示的其他对象的代表向量的标签之间的匹配; 和(e)基于所识别的匹配来识别至少一个相关对象。
    • 48. 发明授权
    • Method and system for optical character recognition using image clustering
    • 使用图像聚类的光学字符识别的方法和系统
    • US08208726B2
    • 2012-06-26
    • US12841839
    • 2010-07-22
    • Kave EshghiGeorge FormanPrakash Reddy
    • Kave EshghiGeorge FormanPrakash Reddy
    • G06K9/34
    • G06K9/00463
    • The present disclosure provides a computer-implemented method of translating an image-based electronic document into a text-based electronic document. The method includes electronically scanning an image-based document to determine positions of word images in the image-based document. The method also includes extracting the word images from the image-based document and storing the word images to an electronic storage device. The method also includes grouping a subset of the word images into a word cluster based on a similarity of the word images, wherein the word images in the word cluster correspond to a same actual word. The method also includes generating a character-encoded transcription for the word cluster based on the word images in the word cluster. The method also includes adding the character-encoded transcription to a text-based electronic document at locations corresponding to the positions of the word images in the image-based document.
    • 本公开提供了一种将基于图像的电子文档翻译成基于文本的电子文档的计算机实现的方法。 该方法包括电子扫描基于图像的文档以确定基于图像的文档中的单词图像的位置。 该方法还包括从基于图像的文档提取单词图像并将单词图像存储到电子存储设备。 该方法还包括基于单词图像的相似性将单词图像的子集分组成单词群集,其中单词群集中的单词图像对应于相同的实际单词。 该方法还包括基于单词簇中的单词图像生成用于单词群集的字符编码的转录。 该方法还包括在基于图像的文档中与单词图像的位置对应的位置处将字符编码的转录添加到基于文本的电子文档。