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    FORECASTING PRODUCT/SERVICE REALIZATION PROFILES
    3.
    发明申请
    FORECASTING PRODUCT/SERVICE REALIZATION PROFILES 审中-公开
    预测产品/服务实现配置文件

    公开(公告)号：US20110231336A1

    公开(公告)日：2011-09-22

    申请号：US12727118

    申请日：2010-03-18

    申请人： Jianying Hu ,  Aleksandra Mojsilovic

    发明人： Jianying Hu ,  Aleksandra Mojsilovic

    IPC分类号： G06Q10/00 ,  G06F15/18 ,  G06N5/02

    CPC分类号： G06Q10/06 ,  G06Q10/04 ,  G06Q10/067 ,  G06Q50/22

    摘要： Past realization profiles can be used to predict future realization profiles using a similarity rubric that emphasizes relationships between the past realization profiles. That similarity rubric might involve techniques including manifold characterization of past realization profiles; predictive modeling; and/or matrix factorization. Realization profiles might be related to business projects and track features such as ongoing resource expenditure, revenues realized, or percentage project completion. Realization profiles might relate to other applications such as effectiveness of medical treatment.

    摘要翻译： 过去的实现概况可以用来预测未来的实现概况，使用强调过去实现概况之间的关系的相似性标题。 该相似性标题可能涉及包括过去实现概况的多样化特征的技术; 预测模型; 和/或矩阵分解。 实现情况可能与业务项目有关，并且跟踪资源支出，实现收入或项目完成百分比等功能。 实现概况可能与其他应用有关，例如医疗的有效性。

    Method and system for the compression of probability tables
    4.
    发明授权
    Method and system for the compression of probability tables 失效
    用于压缩概率表的方法和系统

    公开(公告)号：US07705754B2

    公开(公告)日：2010-04-27

    申请号：US12146310

    申请日：2008-06-25

    申请人： Michael P. Perrone ,  Eugene H. Ratzlaff ,  Jianying Hu

    发明人： Michael P. Perrone ,  Eugene H. Ratzlaff ,  Jianying Hu

    IPC分类号： H03M7/00

    CPC分类号： H04N1/4177 ,  G06K9/6226

    摘要： The present invention relates to a method, computer program product and system for the compression of a probability table and the reconstruction of one or more probability elements using the compressed data and method. After determining a probability table that is to be compressed, the probability table is compressed using a first probability table compression method, wherein the probability table compression method creates a first compressed probability table. The first compressed probability table contains a plurality of probability elements. Further, the probability table is compressed using a second probability table compression method, wherein the probability table compression method creates a second compressed probability table. The second compressed probability table containing a plurality of probability elements. A first probability element reconstructed using the first compressed probability table is thereafter merged with a second probability element reconstructed using the second compressed probability table in order to produce a merged probability element.

    摘要翻译： 本发明涉及一种用于压缩概率表的方法，计算机程序产品和系统，以及使用压缩数据和方法重建一个或多个概率元素。 在确定要压缩的概率表之后，使用第一概率表压缩方法压缩概率表，其中概率表压缩方法创建第一压缩概率表。 第一压缩概率表包含多个概率元素。 此外，使用第二概率表压缩方法压缩概率表，其中概率表压缩方法创建第二压缩概率表。 包含多个概率元素的第二压缩概率表。 然后使用第一压缩概率表重构的第一概率元素与使用第二压缩概率表重构的第二概率元素合并，以产生合并概率元素。

    Method and apparatus for rolling enrollment for signature verification
    5.
    发明授权
    Method and apparatus for rolling enrollment for signature verification 失效
    用于滚动登记的方法和装置进行签名验证

    公开(公告)号：US07676069B2

    公开(公告)日：2010-03-09

    申请号：US12125396

    申请日：2008-05-22

    申请人： Jianying Hu ,  Gregory Fraser Russell

    发明人： Jianying Hu ,  Gregory Fraser Russell

    IPC分类号： G06K9/00 ,  G06F7/04

    CPC分类号： G06K9/00181 ,  G06K9/6255

    摘要： Improved techniques are disclosed for adapting signature verification systems to natural signature variations. For example, a technique for adapting a signature verification system to variations in a signature of a user includes the following steps/operations. One or more signature samples are obtained from the user. The one or more obtained signature samples are submitted by the user as part of a regular authentication procedure associated with the signature verification system. A reference set of signature samples for the user is updated through selection of one or more signature samples from the obtained signature samples, such that the updated reference set is usable by the signature verification system for verifying subsequent signature samples attributed to the user. The selection of the one or more signature samples used to update the reference set is conditioned on a false rejection rate of the user when at least one obtained signature sample of the user is authenticated and on an identification check when no obtained signature sample is authenticated.

    摘要翻译： 公开了用于使签名验证系统适应自然签名变体的改进的技术。 例如，用于使签名验证系统适应用户签名中的变化的技术包括以下步骤/操作。 从用户获得一个或多个签名样本。 一个或多个获得的签名样本由用户提交，作为与签名验证系统相关联的常规认证过程的一部分。 通过从所获得的签名样本中选择一个或多个签名样本来更新用户的签名样本的参考集合，使得更新的参考集合可由签名验证系统用于验证归因于用户的后续签名样本。 用于更新参考集合的一个或多个签名样本的选择在用户的至少一个所获得的签名样本被认证时以及当没有获得的签名样本被认证时在识别检查上的用户的错误拒绝率。

    Method for document comparison and classification using document image layout
    7.
    发明授权
    Method for document comparison and classification using document image layout 有权
    使用文档图像布局进行文档比较和分类的方法

    公开(公告)号：US06542635B1

    公开(公告)日：2003-04-01

    申请号：US09391713

    申请日：1999-09-08

    申请人： Jianying Hu ,  Ramanujan S. Kashi ,  Gordon Thomas Wilfong

    发明人： Jianying Hu ,  Ramanujan S. Kashi ,  Gordon Thomas Wilfong

    IPC分类号： G06K934

    CPC分类号： G06K9/00463

    摘要： Document type comparison and classification using layout classification is accomplished by first segmenting a document page into blocks of text and white space. A grid of rows and columns, forming bins, is created on the page to intersect the blocks. Layout information is identified using a unique fixed length interval vector, to represent each row on the segmented document. By computing the Manhattan distance between interval vectors of all rows of two document pages and performing a warping function to determine the row to row correspondence, two documents may be compared by their layout. Furthermore, interval vectors may be grouped into N clusters with a cluster center, defined as the median of the interval vectors of the cluster, replacing each interval vector in its cluster. Using Hidden Markov Models, documents can be compared to document type models comprising rows represented by cluster centers and identified as belonging to one or more document types. In addition, documents stored in a database may be retrieved, deleted, or otherwise managed by type, using their corresponding vector sets without requiring expensive OCR of the document. Furthermore, based on the classification, it is a simple matter to locate which blocks of data contain certain information. Where only that information is desired, it is not necessary to perform OCR on the entire document. Rather OCR may be limited to those blocks where the particular information is expected based on the document type.

    摘要翻译： 使用布局分类的文档类型比较和分类是通过首先将文档页面分割成文本和空白块来实现的。 在页面上创建行和列的网格，形成仓，以与块相交。 使用唯一的固定长度间隔向量来标识布局信息，以表示分段文档上的每一行。 通过计算两个文档页面的所有行的间隔向量之间的曼哈顿距离并执行扭曲函数来确定行到行对应关系，可以通过它们的布局来比较两个文档。 此外，间隔向量可以被分组为具有簇中心的N个簇，定义为簇的间隔向量的中值，代替其簇中的每个区间向量。 使用隐马尔可夫模型，可以将文档与包含由集群中心表示的行的文档类型模型进行比较，并将其标识为属于一个或多个文档类型。 此外，存储在数据库中的文档可以通过类型来检索，删除或以其他方式管理，使用其对应的向量集而不需要文档的昂贵的OCR。 此外，基于分类，确定哪些数据块包含某些信息是一件简单的事情。 在只需要该信息的情况下，不需要在整个文档上执行OCR。 相反，OCR可以限于基于文档类型预期特定信息的那些块。

    Ranking expert responses and finding experts based on rank
    9.
    发明授权
    Ranking expert responses and finding experts based on rank 失效
    排名专家回应和排名专家

    公开(公告)号：US08538955B2

    公开(公告)日：2013-09-17

    申请号：US13591348

    申请日：2012-08-22

    申请人： Jianying Hu ,  Jennifer Lai ,  Aleksandra Mojsilovic ,  Vikas Sindhwani ,  Kevin Singley

    发明人： Jianying Hu ,  Jennifer Lai ,  Aleksandra Mojsilovic ,  Vikas Sindhwani ,  Kevin Singley

    IPC分类号： G06F17/30

    CPC分类号： G06Q10/00

    摘要： In a computerized social network, expert and user chat sessions are stored and rated probabilistically. Later user requests for information are met with an expert ranking, based on a balance of similarities between expert profile and questions; similarity between expert profile and prior chat sessions, and dynamically updated chat session ratings. New sessions can be rated automatically with reference to keywords distilled from past sessions responsive to user ratings—and based on session length.

    摘要翻译： 在电脑社交网络中，专家和用户聊天会话被概括地存储和评估。 基于专家简介和问题之间的相似性的平衡，后来的用户信息请求符合专家排名; 专家简介和以前的聊天会话之间的相似性，以及动态更新的聊天会话等级。 参考根据用户评分从过去会话中提取的关键字，并根据会话长度自动评估新会话。

    METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR AGGREGATING POPULATION DATA
    10.
    发明申请
    METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR AGGREGATING POPULATION DATA 审中-公开
    用于聚集人口数据的方法，系统和计算机程序产品

    公开(公告)号：US20130231953A1

    公开(公告)日：2013-09-05

    申请号：US13409890

    申请日：2012-03-01

    申请人： Shahram Ebadollahi ,  Jianying HU ,  Jimeng Sun ,  Robert K. Sorrentino

    发明人： Shahram Ebadollahi ,  Jianying HU ,  Jimeng Sun ,  Robert K. Sorrentino

    IPC分类号： G06Q50/24 ,  G06Q30/02

    CPC分类号： G06Q50/22

    摘要： A system, method and program product for matching members of a population, e.g., patients, based on member similarities. Patients are mapped to a bipartite graph with patient nodes connected by weighted edges to clustered factor nodes, are clustered categorically. As a new patient query is received, a similarity measure for each other patient is generated for each cluster by comparing cluster edges. The cluster similarity measures are aggregated for each patient to provide a global closeness measure to every other patient. Based on the global closeness measure, a list of the closest patients is displayed and measurement feedback may be provided.

    摘要翻译： 一种系统，方法和程序产品，用于根据成员的相似性来匹配人群，例如患者的成员。 病人被映射到一个二分图，患者节点通过加权边缘连接到聚类因子节点，被明确地聚类。 当接收到新的患者查询时，通过比较群集边缘，为每个群集生成每个其他患者的相似性度量。 针对每个患者聚集群集相似性度量，以向每个其他患者提供全球接近度量度。 根据全球接近度测量，显示最接近患者的列表，并可提供测量反馈。