PSEUDO-DOCUMENTS TO FACILITATE DATA DISCOVERY
    2.
    发明申请
    PSEUDO-DOCUMENTS TO FACILITATE DATA DISCOVERY 审中-公开
    促进数据发现的原始文件

    公开(公告)号:WO2013155025A1

    公开(公告)日:2013-10-17

    申请号:PCT/US2013/035691

    申请日:2013-04-09

    CPC classification number: G06F17/30622 G06F17/30424

    Abstract: Various embodiments promote the discoverability of data that can be contained within a database. In one or more embodiments, data within a database is organized in a structure having a schema. The structure and data can be processed in a manner that renders one or more pseudo-documents each of which constitutes a sub-structure that can be indexed. Once produced and indexed, the pseudo-documents constitute a set of searchable objects each of which relationally points back to its associated structure within the database. Searches can now be performed against the pseudo-documents which, in turn, returns a set of search results. The set of search results can include multiple sub-sets of pseudo-documents, each sub-set of which is associated with a different structure.

    Abstract translation: 各种实施例提高了可以包含在数据库内的数据的可发现性。 在一个或多个实施例中,数据库内的数据被组织在具有模式的结构中。 结构和数据可以以呈现一个或多个伪文档的方式进行处理,每个伪文档构成可被索引的子结构。 一旦生成和索引,伪文档构成一组可搜索的对象,每个可搜索对象在数据库中相互关联地指向其相关联的结构。 现在可以针对伪文档执行搜索,这些伪文档又返回一组搜索结果。 该组搜索结果可以包括多个伪文档子集,每个子​​集的每个子集与不同的结构相关联。

    BROWSING ITEMS RELATED TO EMAIL
    3.
    发明申请
    BROWSING ITEMS RELATED TO EMAIL 审中-公开
    浏览与电子邮件相关的项目

    公开(公告)号:WO2007075237A1

    公开(公告)日:2007-07-05

    申请号:PCT/US2006/044732

    申请日:2006-11-17

    CPC classification number: G06Q10/107 H04L67/00

    Abstract: A system for browsing items related to an email comprises a grouping component that groups items into a plurality of sets of related items. A tagging component associates one or more tags with each of the sets of related items, and an email display component displays an email and one or more tags associated with the displayed email. A related item display component receives a user selection of at least one of the one or more tags and displays one or more items related to the displayed email based at least in part upon the user selection.

    Abstract translation: 用于浏览与电子邮件有关的项目的系统包括将项目分组成多组相关项目的分组组件。 标签组件将一个或多个标签与每个相关项目相关联,并且电子邮件显示组件显示与所显示的电子邮件相关联的电子邮件和一个或多个标签。 相关项目显示组件至少部分地基于用户选择接收用户对一个或多个标签中的至少一个标签的选择,并且显示与所显示的电子邮件相关的一个或多个项目。

    IMAGE SUPERRESOLUTION THROUGH EDGE EXTRACTION AND CONTRAST ENHANCEMENT
    5.
    发明申请
    IMAGE SUPERRESOLUTION THROUGH EDGE EXTRACTION AND CONTRAST ENHANCEMENT 审中-公开
    通过边缘提取和对比度增强的图像超分辨率

    公开(公告)号:WO2007001820A2

    公开(公告)日:2007-01-04

    申请号:PCT/US2006/022862

    申请日:2006-06-13

    Abstract: A technique for generating high-resolution bitmaps from low-resolution bitmaps. A low-resolution bitmap is magnified to form a magnified image. Edge detection is performed on the magnified image to find high contrast edges. A plurality of image patches of the magnified image are generated. These images patches are analyzed by performing connected components analysis on each of them using the high contrast edges to produce a plurality of foreground and background decisions determining whether a portion of an image patch is a background or a foreground region. Then the contrast of one or more pixels in each of the plurality of image patches is enhanced based on the foreground and background decisions. Finally, the system and method of the invention combines the luminance of the enhanced output pixels with the color values generated by the magnification algorithm. This produces a high-resolution bitmap from the contrast-enhanced pixels.

    Abstract translation:

    一种从低分辨率位图生成高分辨率位图的技术。 低分辨率位图被放大以形成放大图像。 在放大的图像上执行边缘检测以找到高对比度边缘。 生成放大图像的多个图像块。 通过使用高对比度边缘对它们中的每一个执行连通分量分析来分析这些图像补片,以产生确定图像补片的一部分是背景还是前景区域的多个前景和背景判定。 然后,基于前景和背景判定来增强多个图像块中的每一个中的一个或多个像素的对比度。 最后,本发明的系统和方法将增强输出像素的亮度与由放大算法生成的颜色值组合。 这会从对比度增强的像素中产生高分辨率的位图。

    PROGRESSIVE QUERY COMPUTATION USING STREAMING ARCHITECTURES

    公开(公告)号:WO2014011708A3

    公开(公告)日:2014-01-16

    申请号:PCT/US2013/049820

    申请日:2013-07-10

    Abstract: The described implementations relate to processing of electronic data. One implementation is manifest as a technique that can include obtaining a relational query that references one or more data items and associating progress intervals with the data items. The technique can also include converting the relational query into a corresponding streaming query, and providing the streaming query and the data items with the progress intervals to a stream engine that produces incremental results of the query. For example, the progress intervals can be based on row numbers of a relational database table. The progress intervals can be used to define event lifetimes of streaming events that are provided as inputs to the stream engine.

    IMAGE PROCESSING USING SALTATING SAMPLES
    7.
    发明申请

    公开(公告)号:WO2007014365A3

    公开(公告)日:2007-02-01

    申请号:PCT/US2006/029632

    申请日:2006-07-27

    Abstract: A saltating sample image enhancement system and method that provides an image processing operation in which a filter considers one or one or more exact source image pixels; one or more bilinearly interpolated source image samples, where the bilinear weights are coupled to the position of the target pixel relative to the source pixels; and (optionally) one or more linearly interpolated source image samples, where the linear weights are coupled to the position of the target pixel relative to the source pixels. The filter can construct a spatially continuous image statistic.

    DEVELOPING IMPLICIT METADATA FOR DATA STORES
    8.
    发明申请
    DEVELOPING IMPLICIT METADATA FOR DATA STORES 审中-公开
    为数据存储开发隐含元数据

    公开(公告)号:WO2013155024A2

    公开(公告)日:2013-10-17

    申请号:PCT/US2013/035690

    申请日:2013-04-09

    CPC classification number: G06F17/30997

    Abstract: A system enables metadata to be gathered about a data store beginning from the creation and generation of the data store, through subsequent use of the data store. This metadata can include keywords related to the data store and data appearing within the data store. Thus, keywords and other metadata can be generated without owner/creator intervention, with enough semantic meaning to make a discovery process associated with the data store much easier and efficient. Usage of or communication regarding a data store are monitored and keywords are extracted from the usage or communication. The keywords are then written to otherwise associated with metadata of the data store. During searching, keywords in the metadata are made available to be used to attempt to match query terms entered by a searcher.

    Abstract translation: 系统通过后续使用数据存储,可以从数据存储的创建和生成开始收集关于数据存储的元数据。 该元数据可以包括与数据存储相关的关键字和数据存储中出现的数据。 因此,关键字和其他元数据可以在没有所有者/创建者干预的情况下生成,具有足够的语义意义,使得与数据存储相关联的发现过程更容易和高效。 对数据存储的使用或通信进行监控,并从使用或通信中提取关键字。 然后将关键字写入与数据存储的元数据相关联。 在搜索期间,元数据中的关键字可用于尝试匹配搜索者输入的查询词。

    FINDING DATA IN CONNECTED CORPUSES USING EXAMPLES
    9.
    发明申请
    FINDING DATA IN CONNECTED CORPUSES USING EXAMPLES 审中-公开
    使用实例查找连接的股票中的数据

    公开(公告)号:WO2013154951A1

    公开(公告)日:2013-10-17

    申请号:PCT/US2013/035539

    申请日:2013-04-08

    Abstract: In one embodiment, datasets are stored in a catalog. The datasets are enriched by establishing relationships among the domains in different datasets. A user searches for relevant datasets by providing examples of the domains of interest. The system identifies datasets corresponding to the user-provided examples. The system them identifies connected subsets of the datasets that are directly linked or indirectly linked through other domains. The user provides known relationship examples to filter the connected subsets and to identify the connected subsets that are most relevant to the user's query. The selected connected subsets may be further analyzed by business intelligence/analytics to create pivot tables or to process the data.

    Abstract translation: 在一个实施例中,数据集存储在目录中。 通过在不同数据集中建立域之间的关系来丰富数据集。 用户通过提供感兴趣的域的示例来搜索相关的数据集。 系统识别与用户提供的示例对应的数据集。 系统识别通过其他域直接链接或间接链接的数据集的连接子集。 用户提供已知的关系示例来过滤连接的子集并识别与用户查询最相关的连接的子集。 可以通过商业智能/分析进一步分析所选择的连接子集以创建枢轴表或处理数据。

    ACTIVE LEARNING USING A DISCRIMINATIVE CLASSIFIER AND A GENERATIVE MODEL TO DETECT AND/OR PREVENT MALICIOUS BEHAVIOR
    10.
    发明申请
    ACTIVE LEARNING USING A DISCRIMINATIVE CLASSIFIER AND A GENERATIVE MODEL TO DETECT AND/OR PREVENT MALICIOUS BEHAVIOR 审中-公开
    主动学习使用分类分类器和生成模型来检测和/或防止恶意行为

    公开(公告)号:WO2009051915A1

    公开(公告)日:2009-04-23

    申请号:PCT/US2008/075677

    申请日:2008-09-09

    CPC classification number: G06F15/16

    Abstract: A malicious behavior detection/prevention system, such as an intrusion detection system, is provided that uses active learning to classify entries into multiple classes. A single entry can correspond to either the occurrence of one or more events or the non-occurrence of one or more events. During a training phase, entries are automatically classified into one of multiple classes. After classifying the entry, a generated model for the determined class is utilized to determine how well an entry corresponds to the model. Ambiguous classifications along with entries that do not fit the model well for the determined class are selected for labeling by a human analyst The selected entries are presented to a human analyst for labeling. These labels are used to further train the classifier and the models. During an evaluation phase, entries are automatically classified using the trained classifier and a policy associated with determined class is applied.

    Abstract translation: 提供了一种恶意行为检测/预防系统,例如入侵检测系统,其使用主动学习将条目分类到多个类中。 单个条目可以对应于一个或多个事件的发生或一个或多个事件的不发生。 在训练阶段,条目自动分为多个类别之一。 在对条目进行分类之后,使用所确定的类的生成模型来确定条目对应于模型的良好程度。 选择不确定的分类以及不符合确定类别的模型的条目,由人类分析人员进行标签。所选条目将呈现给人类分析人员进行标签。 这些标签用于进一步训练分类器和型号。 在评估阶段,使用训练有素的分类器对条目进行自动分类,并应用与确定类相关联的策略。

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