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1. 发明授权

US08805756B2 Enhanced DeepQA in a medical environment 有权
标题翻译：在医疗环境中增强DeepQA
公开(公告)号：US08805756B2
公开(公告)日：2014-08-12
申请号：US14067416
申请日：2013-10-30
申请人： Gregory J. Boss , Ching-Hua Chen-Ritzo , Rick A. Hamilton, II , Jianying Hu , Clifford A. Pickover
发明人： Gregory J. Boss , Ching-Hua Chen-Ritzo , Rick A. Hamilton, II , Jianying Hu , Clifford A. Pickover
IPC分类号： G06F15/18 , G06N5/00 , G06K9/62
CPC分类号： G06N5/00 , G06F17/30976 , G06F19/00 , G06F19/325 , G06F19/3456 , G06K9/62 , G06N5/02 , G06N99/005 , G06Q10/10 , G06Q50/00 , G16H50/20
摘要： A DeepQA engine is enhanced to provide a digital medical investigation tool which assists a medical professional in researching potential causes of a set of patient conditions, including clues, facts and factoids about the patient. The DeepQA engine provides one or more answers to a natural language question with confidence levels for each answer. If a confidence level falls below a threshold, the enhanced DeepQA engine performs a crowd sourcing operation to gather additional information from one or more domain experts. The domain expert responses are provided to the medical professional, and are learned by the enhanced DeepQA system to provide for better research of similar patient conditions in future queries.
摘要翻译： DeepQA引擎被增强以提供数字医疗调查工具，其帮助医学专业人员研究一组病人状况的潜在原因，包括关于患者的线索，事实和事实。 DeepQA引擎为自然语言问题提供一个或多个答案，每个答案的置信水平。如果置信水平低于阈值，则增强型DeepQA引擎执行群众采购操作，从一个或多个域专家收集附加信息。领域专家的回答提供给医疗专业人员，并由增强型DeepQA系统学习，以提供对未来查询中类似患者状况的更好的研究。

2. 发明申请

US20130132308A1 Enhanced DeepQA in a Medical Environment 审中-公开
标题翻译：增强DeepQA在医疗环境
公开(公告)号：US20130132308A1
公开(公告)日：2013-05-23
申请号：US13302120
申请日：2011-11-22
申请人： Gregory Jensen Boss , Ching-Hua Chen-Ritzo , Rick Allen Hamilton, II , Jianying Hu , Clifford Alan Pickover
发明人： Gregory Jensen Boss , Ching-Hua Chen-Ritzo , Rick Allen Hamilton, II , Jianying Hu , Clifford Alan Pickover
IPC分类号： G06F15/18
CPC分类号： G06N5/00 , G06F16/90332 , G06F19/325 , G06F19/3456 , G06K9/62 , G06N5/02 , G06N5/022 , G06N20/00 , G06Q10/10 , G06Q50/00 , G16H50/20
摘要： A DeepQA engine is enhanced to provide a digital medical investigation tool which assists a medical professional in researching potential causes of a set of patient conditions, including clues, facts and factoids about the patient. The DeepQA engine provides one or more answers to a natural language question with confidence levels for each answer. If a confidence level falls below a threshold, the enhanced DeepQA engine performs a crowd sourcing operation to gather additional information from one or more domain experts. The domain expert responses are provided to the medical professional, and are learned by the enhanced DeepQA system to provide for better research of similar patient conditions in future queries.
摘要翻译： DeepQA引擎被增强以提供数字医疗调查工具，其帮助医学专业人员研究一组病人状况的潜在原因，包括关于患者的线索，事实和事实。 DeepQA引擎为自然语言问题提供一个或多个答案，每个答案的置信水平。如果置信水平低于阈值，则增强型DeepQA引擎执行群众采购操作，从一个或多个域专家收集附加信息。领域专家的回答提供给医疗专业人员，并由增强型DeepQA系统学习，以提供对未来查询中类似患者状况的更好的研究。

3. 发明授权

US08872979B2 Combined-media scene tracking for audio-video summarization 有权
标题翻译：用于音视频摘要的组合媒体场景跟踪
公开(公告)号：US08872979B2
公开(公告)日：2014-10-28
申请号：US10153550
申请日：2002-05-21
申请人： Amit Bagga , Jianying Hu , Jialin Zhong
发明人： Amit Bagga , Jianying Hu , Jialin Zhong
IPC分类号： H04N5/14 , G06F17/30 , G06K9/18 , G06K9/62 , G06K9/00 , G06K9/72 , G06F3/01 , G11B27/28 , H04N5/073 , H04N5/445
CPC分类号： G06F17/30796 , G06F3/018 , G06F17/30802 , G06K9/00456 , G06K9/00664 , G06K9/00718 , G06K9/00765 , G06K9/18 , G06K9/6202 , G06K9/6203 , G06K9/6218 , G06K9/72 , G11B27/28 , H04N5/073 , H04N5/144 , H04N5/145 , H04N5/147 , H04N5/44504 , H04N21/4143 , H04N21/435 , H04N21/4394 , H04N21/44008 , H04N21/440236 , H04N21/4622 , H04N21/84 , H04N21/8456 , H04N21/8549
摘要： Techniques are presented for analyzing audio-video segments, usually from multiple sources. A combined similarity measure is determined from text similarities and video similarities. The text and video similarities measure similarity between audio-video scenes for text and video, respectively. The combined similarity measure is then used to determine similar scenes in the audio-video segments. When the audio-video segments are from multiple audio-video sources, the similar scenes are common scenes in the audio-video segments. Similarities may be converted to or measured by distance. Distance matrices may be determined by using the similarity matrices. The text and video distance matrices are normalized before the combined similarity matrix is determined. Clustering is performed using distance values determined from the combined similarity matrix. Resulting clusters are examined and a cluster is considered to represent a common scene between two or more different audio-video segments when scenes in the cluster are similar.
摘要翻译：提供技术用于分析音频视频片段，通常来自多个来源。从文本相似性和视频相似性确定组合相似性度量。文本和视频相似性分别测量文本和视频的音视频场景之间的相似度。然后使用组合的相似性度量来确定音频 - 视频段中的相似场景。当音频 - 视频段来自多个音频 - 视频源时，类似的场景是音频 - 视频段中的常见场景。相似性可以转换为或通过距离测量。距离矩阵可以通过使用相似性矩阵来确定。文本和视频距离矩阵在确定组合相似矩阵之前被归一化。使用从组合相似矩阵确定的距离值来进行聚类。检查所得到的群集，并且当群集中的场景相似时，群集被认为表示两个或更多个不同音频 - 视频段之间的共同场景。

4. 发明申请

US20130282393A1 COMBINING KNOWLEDGE AND DATA DRIVEN INSIGHTS FOR IDENTIFYING RISK FACTORS IN HEALTHCARE 审中-公开
公开(公告)号：US20130282393A1
公开(公告)日：2013-10-24
申请号：US13611366
申请日：2012-09-12
申请人： Shahram Ebadollahi , Jianying Hu , Dijun Luo , Marianthi Markatou , Jimeng Sun , Fei Wang
发明人： Shahram Ebadollahi , Jianying Hu , Dijun Luo , Marianthi Markatou , Jimeng Sun , Fei Wang
IPC分类号： G06Q50/22
CPC分类号： G06Q10/10 , G16H50/30
摘要： Systems and methods for risk factor identification include identifying a first set of risk factors from personal data. A second set of risk factors is identified from at least one of a user input and a knowledge source. The first set is combined with the second set, using a processor, by selecting a number of risk factors from the first set that augment the second set of risk factors to determine a combined list of risk factors that predict a condition of interest.

5. 发明申请

US20110231336A1 FORECASTING PRODUCT/SERVICE REALIZATION PROFILES 审中-公开
标题翻译：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。

6. 发明授权

US07705754B2 Method and system for the compression of probability tables 失效
标题翻译：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。

7. 发明授权

US07676069B2 Method and apparatus for rolling enrollment for signature verification 失效
标题翻译：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。

8. 发明申请

US20080167929A1 METHOD AND STRUCTURE FOR GENERIC ARCHITECTURE F0R INTEGRATED END-TO-END WORKFORCE MANAGEMENT 审中-公开
标题翻译：一般架构F0R集成端到端工作管理的方法与结构
公开(公告)号：US20080167929A1
公开(公告)日：2008-07-10
申请号：US11621942
申请日：2007-01-10
申请人： Heng Cao , Daniel Patrick Connors , Donna L. Gresh , Meng-Chen Hsieh , Jianying Hu , Chen Jiang , Tarun Kumar , Yang Liu , Yingdong Lu , Aleksandra Mojsilovic , Ana Radovanovic , Mark S. Squillante , Yichong Yu
发明人： Heng Cao , Daniel Patrick Connors , Donna L. Gresh , Meng-Chen Hsieh , Jianying Hu , Chen Jiang , Tarun Kumar , Yang Liu , Yingdong Lu , Aleksandra Mojsilovic , Ana Radovanovic , Mark S. Squillante , Yichong Yu
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06 , G06Q10/063
摘要： A method (and structure) for end-to-end workforce management, includes identifying sources of data that together reflect data of substantially the entirety of a workforce of an organization, identifying service components related to the workforce, and combining the data sources and service components into an integrated framework to support an end-to-end workforce management cycle.
摘要翻译：用于端对端员工管理的方法（和结构）包括识别数据源，它们一起反映组织的大量整体劳动力的数据，识别与劳动力相关的服务组件，以及组合数据源和服务组件成为一个综合框架，以支持端对端员工管理周期。

9. 发明授权

US06542635B1 Method for document comparison and classification using document image layout 有权
标题翻译：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。

10. 发明申请

US20130282390A1 COMBINING KNOWLEDGE AND DATA DRIVEN INSIGHTS FOR IDENTIFYING RISK FACTORS IN HEALTHCARE 审中-公开
标题翻译：组合知识和数据驱动程序来识别健康护理中的风险因素
公开(公告)号：US20130282390A1
公开(公告)日：2013-10-24
申请号：US13451982
申请日：2012-04-20
申请人： Shahram Ebadollahi , Jianying Hu , Dijun Luo , Marianthi Markatou , Jimeng Sun , Fei Wang
发明人： Shahram Ebadollahi , Jianying Hu , Dijun Luo , Marianthi Markatou , Jimeng Sun , Fei Wang
IPC分类号： G06Q50/22
CPC分类号： G06Q10/10 , G16H50/30
摘要： Systems and methods for risk factor identification include identifying a first set of risk factors from personal data. A second set of risk factors is identified from at least one of a user input and a knowledge source. The first set is combined with the second set, using a processor, by selecting a number of risk factors from the first set that augment the second set of risk factors to determine a combined list of risk factors that predict a condition of interest.
摘要翻译：风险因素识别的系统和方法包括从个人资料中确定第一组风险因素。从用户输入和知识源中的至少一个识别出第二组风险因素。通过从第一组中选择一些增加第二组风险因子的风险因素来确定组合的预测感兴趣条件的风险因子列表，第一组与第二组合使用处理器。

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