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11. 发明授权

US08126758B2 Method and apparatus for information boosting in related but disconnected databases 失效
标题翻译：在相关但断开连接的数据库中提升信息的方法和装置
公开(公告)号：US08126758B2
公开(公告)日：2012-02-28
申请号：US12014414
申请日：2008-01-15
申请人： Jianying Hu , Aleksandra Mojsilovic , Ana Radovanovic , Mark S. Squillante
发明人： Jianying Hu , Aleksandra Mojsilovic , Ana Radovanovic , Mark S. Squillante
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06 , G06Q10/063 , G06Q10/0631 , G06Q10/06311 , G06Q10/063118
摘要： Method and apparatus for information boosting in related but disconnected databases, in one aspect, may comprise identifying disconnected data sources comprising data that are related or dependent on one another, determining one or more relationships and dependencies among the disconnected data, and refining the data sources based on one or more relationships and dependencies.
摘要翻译：在一方面，在相关但断开连接的数据库中用于信息提升的方法和装置可以包括识别断开的数据源，其包括彼此相关或相互依赖的数据，确定断开连接的数据之间的一个或多个关系和依赖性，以及改进数据源基于一个或多个关系和依赖关系。

12. 发明申请

US20110119264A1 RANKING EXPERT RESPONSES AND FINDING EXPERTS BASED ON RANK 失效
标题翻译：排名专家反馈，并根据排名查找专家
公开(公告)号：US20110119264A1
公开(公告)日：2011-05-19
申请号：US12621285
申请日：2009-11-18
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 , G06F3/048
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。

13. 发明申请

US20100145961A1 System and method for adaptive categorization for use with dynamic taxonomies 有权
标题翻译：用于动态分类的自适应分类的系统和方法
公开(公告)号：US20100145961A1
公开(公告)日：2010-06-10
申请号：US12315724
申请日：2008-12-05
申请人： Jianying Hu , Aleksandra Mojsilovic , Moninder Singh
发明人： Jianying Hu , Aleksandra Mojsilovic , Moninder Singh
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/3071
摘要： A system, method and computer program product provides a solution to a class of categorization problems using a semi-supervised clustering approach, the method employing performing a Soft Seeded k-means algorithm, which makes effective use of the side information provided by seeds with a wide range of confidence levels, even when they do not provide complete coverage of the pre-defined categories. The semi-supervised clustering is achieved through the introductions of a seed re-assignment penalty measure and model selection measure.
摘要翻译：系统，方法和计算机程序产品使用半监督聚类方法提供了对一类分类问题的解决方案，该方法采用执行软播种k均值算法，其有效利用由种子提供的边信息即使他们没有提供完整的预定义类别的覆盖范围，范围广泛的置信水平。半监督聚类是通过引入种子重新分配惩罚措施和模型选择措施来实现的。

14. 发明申请

US20070027703A1 Method and system for determining offering combinations in a multi-product environment 审中-公开
标题翻译：用于在多产品环境中确定提供组合的方法和系统
公开(公告)号：US20070027703A1
公开(公告)日：2007-02-01
申请号：US11191081
申请日：2005-07-28
申请人： Jianying Hu , Aleksandra Mojsilovic
发明人： Jianying Hu , Aleksandra Mojsilovic
IPC分类号： G06Q99/00
CPC分类号： G06Q30/02 , G06Q30/0202 , G06Q30/0625
摘要： A multi-product environment is analyzed to identify combinations of products or services which represent strategic offerings of a company. For a multi-product environment and a set of client accounts, a segmentation tree is constructed to identify the offering groups of interest. The tree is first initialized as a root representing all offerings, all clients and an empty offering set. A recursive algorithm is then applied to grow the tree at each node by segmenting the clients based on whether a particular offering is purchased. The selection of the offering to use for segmentation at each node is determined by a mathematical algorithm that considers two factors: 1) the offering should have high pulling power, meaning it is likely to produce high revenue in combination with other offerings, and 2) the offering should be unlikely to cause fragmentation, meaning nodes representing a very small amount of revenue. The algorithm terminates when each leaf node reaches one of the two limits: 1) Representation limit which is reached when a significant portion of revenue is accounted for by offerings in a particular grouping and 2) Significance limit which is reached when the revenue represented by a node is too small to be considered significant. At this point all leaf nodes representing significant revenue are collected as the offering groups.
摘要翻译：分析多产品环境，以确定代表公司战略性产品的产品或服务的组合。对于多产品环境和一组客户帐户，构建分割树来识别感兴趣的产品组。树首先被初始化为表示所有产品，所有客户端和空提供集的根。然后应用递归算法来根据是否购买特定产品，通过对客户端进行细分来在每个节点生长树。在每个节点上选择用于分割的产品是通过考虑两个因素的数学算法来确定的：1）产品应具有较高的牵引力，这意味着与其他产品相结合可能产生高收入，以及2）该产品不应该导致分散，意味着节点代表的收入非常小。当每个叶节点达到两个限制之一时，该算法终止：1）当特定分组中的产品占相当一部分收入时所达到的表示限制，以及2）当由a表示的收入达到的意义限制节点太小，不能被认为是重要的。在这一点上，所有代表重要收入的叶节点被收集作为提供组。

15. 发明授权

US06487554B2 Retrieval and matching of color patterns based on a predetermined vocabulary and grammar 有权
公开(公告)号：US06487554B2
公开(公告)日：2002-11-26
申请号：US10020346
申请日：2001-10-30
申请人： S. Kicha Ganapathy , Jianying Hu , Jelena Kovacevic , Aleksandra Mojsilovic , Robert James Safranek
发明人： S. Kicha Ganapathy , Jianying Hu , Jelena Kovacevic , Aleksandra Mojsilovic , Robert James Safranek
IPC分类号： G06F1730
CPC分类号： G06F17/30262 , G06F17/3025 , G06K9/626 , Y10S707/99932 , Y10S707/99933 , Y10S707/99936 , Y10S707/99945 , Y10S707/99948
摘要： The invention provides a perceptually-based system for pattern retrieval and matching, suitable for use in a wide variety of information processing applications. An illustrative embodiment of the system uses a predetermined vocabulary comprising one or more dimensions to extract color and texture information from an information signal, e.g., an image, selected by a user. The system then generates a distance measure characterizing the relationship of the selected image to another image stored in a database, by applying a grammar, comprising a set of predetermined rules, to the color and texture information extracted from the selected image and corresponding color and texture information associated with the stored image. The vocabulary may include dimensions such as overall color, directionality and orientation, regularity and placement, color purity, and pattern complexity and heaviness. The rules in the grammar may include equal pattern, overall appearance, similar pattern, and dominant color and general impression, with each of the rules expressed as a logical combination of values generated for one or more of the dimensions. The distance measure may include separate color and texture metrics characterizing the similarity of the respective color and texture of the two images being compared. The invention is also applicable to other types of information signals, such as sequences of video frames.

16. 发明申请

US20080167951A1 METHOD AND SYSTEM FOR DETERMINING OFFERING COMBINATIONS IN A MULTI-PRODUCT ENVIRONMENT 审中-公开
标题翻译：用于确定在多产品环境中提供组合的方法和系统
公开(公告)号：US20080167951A1
公开(公告)日：2008-07-10
申请号：US12052977
申请日：2008-03-21
申请人： Jianying HU , Aleksandra Mojsilovic
发明人： Jianying HU , Aleksandra Mojsilovic
IPC分类号： G06Q10/00 , G06F17/00
CPC分类号： G06Q30/02 , G06Q30/0202 , G06Q30/0625
摘要： A multi-product environment is analyzed to identify combinations of products or services which represent strategic offerings of a company. For a multi-product environment and a set of client accounts, a segmentation tree is constructed to identify the offering groups of interest. The tree is first initialized as a root representing all offerings, all clients and an empty offering set. A recursive algorithm is then applied to grow the tree at each node by segmenting the clients based on whether a particular offering is purchased. The selection of the offering to use for segmentation at each node is determined by a mathematical algorithm that considers two factors: 1) the offering should have high pulling power, meaning it is likely to produce high revenue in combination with other offerings, and 2) the offering should be unlikely to cause fragmentation, meaning nodes representing a very small amount of revenue. The algorithm terminates when each leaf node reaches one of the two limits: 1) Representation limit which is reached when a significant portion of revenue is accounted for by offerings in a particular grouping and 2) Significance limit which is reached when the revenue represented by a node is too small to be considered significant. At this point all leaf nodes representing significant revenue are collected as the offering groups.
摘要翻译：分析多产品环境，以确定代表公司战略性产品的产品或服务的组合。对于多产品环境和一组客户帐户，构建分割树来识别感兴趣的产品组。树首先被初始化为表示所有产品，所有客户端和空提供集的根。然后应用递归算法来根据是否购买特定产品，通过对客户端进行细分来在每个节点生长树。在每个节点上选择用于分割的产品是通过考虑两个因素的数学算法来确定的：1）产品应具有较高的牵引力，这意味着与其他产品相结合可能产生高收入，以及2）该产品不应该导致分散，意味着节点代表的收入非常小。当每个叶节点达到两个限制之一时，该算法终止：1）当特定分组中的产品占相当一部分收入时所达到的表示限制，以及2）当由a表示的收入达到的意义限制节点太小，不能被认为是重要的。在这一点上，所有代表重要收入的叶节点被收集作为提供组。

17. 发明授权

US06732119B2 Retrieval and matching of color patterns based on a predetermined vocabulary and grammar 有权
标题翻译：基于预定词汇和语法的颜色模式的检索和匹配
公开(公告)号：US06732119B2
公开(公告)日：2004-05-04
申请号：US10188687
申请日：2002-07-03
申请人： S. Kicha Ganapathy , Jianying Hu , Jelena Kovacevic , Aleksandra Mojsilovic , Robert James Safranek
发明人： S. Kicha Ganapathy , Jianying Hu , Jelena Kovacevic , Aleksandra Mojsilovic , Robert James Safranek
IPC分类号： G06F1730
CPC分类号： G06F17/30262 , G06F17/3025 , G06K9/626 , Y10S707/99932 , Y10S707/99933 , Y10S707/99936 , Y10S707/99945 , Y10S707/99948
摘要： The invention provides a perceptually-based system for pattern retrieval and matching, suitable for use in a wide variety of information processing applications. An illustrative embodiment of the system uses a predetermined vocabulary comprising one or more dimensions to extract color and texture information from an information signal, e.g., an image, selected by a user. The system then generates a distance measure characterizing the relationship of the selected image to another image stored in a database, by applying a grammar, comprising a set of predetermined rules, to the color and texture information extracted from the selected image and corresponding color and texture information associated with the stored image. The vocabulary may include dimensions such as overall color, directionality and orientation, regularity and placement, color purity, and pattern complexity and heaviness. The rules in the grammar may include equal pattern, overall appearance, similar pattern, and dominant color and general impression, with each of the rules expressed as a logical combination of values generated for one or more of the dimensions. The distance measure may include separate color and texture metrics characterizing the similarity of the respective color and texture of the two images being compared. The invention is also applicable to other types of information signals, such as sequences of video frames.
摘要翻译：本发明提供了一种基于感知的用于模式检索和匹配的系统，适用于各种各样的信息处理应用。系统的说明性实施例使用包括一个或多个维度的预定词汇表从用户选择的信息信号（例如，图像）中提取颜色和纹理信息。然后，系统通过将包括一组预定规则的语法应用于从所选择的图像提取的颜色和纹理信息以及相应的颜色和纹理，生成表征所选图像与存储在数据库中的另一图像的关系的距离度量与存储的图像相关联的信息。词汇可以包括诸如整体颜色，方向性和取向，规则性和放置，颜色纯度和图案复杂性和沉重性的尺寸。语法中的规则可以包括相等的模式，整体外观，类似的模式以及主要颜色和一般的印象，其中每个规则表示为为一个或多个维度生成的值的逻辑组合。距离测量可以包括表征正在比较的两个图像的相应颜色和纹理的相似性的分离的颜色和纹理度量。本发明也可应用于其他类型的信息信号，例如视频帧序列。

18. 发明授权

US08055532B2 Most informative thresholding of heterogeneous data 失效
标题翻译：最有信息的异构数据门槛
公开(公告)号：US08055532B2
公开(公告)日：2011-11-08
申请号：US11396612
申请日：2006-04-04
申请人： Wanli Min , Aleksandra Mojsilovic
发明人： Wanli Min , Aleksandra Mojsilovic
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q10/0631 , G06Q10/06311 , G06Q30/0204 , G06Q30/0241 , G06Q40/00
摘要： A method of thresholding of a database of customer purchasing history using a computer, includes providing a customer purchase history database including data regarding customer satisfaction, awareness of vendor brands, previous purchasing history, and size of customer budget, providing a predetermined threshold regarding the data, establishing, in the computer, boundaries surrounding the predetermined threshold, splitting the data, in the computer, to maximize the differences in the data across the split; generating, in the computer, a model of the data, in the computer, based upon the split, and allocating marketing resources based upon the model.
摘要翻译：使用计算机对客户采购历史数据库进行阈值化的方法包括提供客户购买历史数据库，其中包括关于客户满意度的信息，供应商品牌的意识，先前的采购历史和客户预算的大小，提供关于数据的预定阈值在计算机中建立围绕预定阈值的边界，在计算机中分割数据以最大化跨越分割的数据的差异; 在计算机中，在计算机中基于分割生成数据的模型，并基于模型分配营销资源。

19. 发明申请

US20060111993A1 System, method for deploying computing infrastructure, and method for identifying an impact of a business action on a financial performance of a company 审中-公开
标题翻译：用于部署计算基础设施的系统，方法以及用于识别企业行为对公司财务业绩的影响的方法
公开(公告)号：US20060111993A1
公开(公告)日：2006-05-25
申请号：US10994260
申请日：2004-11-23
申请人： Richard Lawrence , Aleksandra Mojsilovic , Bonnie Ray , Samer Takriti
发明人： Richard Lawrence , Aleksandra Mojsilovic , Bonnie Ray , Samer Takriti
IPC分类号： G06Q40/00
CPC分类号： G06Q10/10 , G06Q40/00
摘要： A system (and method, and method for deploying computing infrastructure) for identifying the impact of a business action on a financial performance of a company, including performing a retrospective analysis of a plurality of example companies taking a business action, wherein the retrospective analysis is based on features of the plurality of companies in a predetermined pre-action time period and a predetermined post-action time period in the absence of definitive knowledge concerning when the impact will occur within the post-action time frame, and, moreover, predicting the impact of the business action on a new company.
摘要翻译：一种用于识别企业行为对公司财务业绩的影响的系统（以及部署计算基础设施的方法），包括对采取业务行动的多个示例公司进行追溯分析，其中追溯分析是基于多个公司的特征，在预定的动作前时间段和预定的动作后时间段中，在没有关于何时在动作后时间框内发生影响的确定知识的情况下，并且还预测业务行动对新公司的影响。

20. 发明授权

US07043474B2 System and method for measuring image similarity based on semantic meaning 有权
标题翻译：基于语义意义测量图像相似度的系统和方法
公开(公告)号：US07043474B2
公开(公告)日：2006-05-09
申请号：US10123334
申请日：2002-04-15
申请人： Aleksandra Mojsilovic , Bernice Rogowitz , Jose Gomes
发明人： Aleksandra Mojsilovic , Bernice Rogowitz , Jose Gomes
IPC分类号： G06F17/30
CPC分类号： G06K9/6215 , G06F17/30256 , G06F17/30265 , G06F19/00 , G06F19/321 , G06K9/00664 , G06K9/46 , G06K9/726 , G16H50/20 , Y10S707/99936 , Y10S707/99945
摘要： A method includes deriving a plurality of semantic categories for representing important semantic cues in images, where each semantic category is modeled through a combination of perceptual features that define the semantics of that category and that discriminate that category from other categories; for each semantic category, forming a set of the perceptual features comprising required features and frequently occurring features; comparing an image to said semantic categories; and classifying said image as belonging to one of said semantic categories if all of the required features and at least one of the frequently occurring features for that semantic category are present in said image. A database contains image information, where the image information includes at least one of already classified images, network locations of already classified images and documents containing already classified images. The database is searched for images matching an input query, comprising, e.g., an image, text, or both.
摘要翻译：一种方法包括导出用于表示图像中的重要语义线索的多个语义类别，其中通过定义该类别的语义并将该类别与其他类别区分开的知觉特征的组合来建模每个语义类别; 对于每个语义类别，形成包括所需特征和经常出现的特征的感知特征的集合; 将图像与所述语义类别进行比较; 以及如果所述语义类别中的所有所需特征和所述经常出现的特征中的至少一个存在于所述图像中，则将所述图像分类为属于所述语义类别之一。数据库包含图像信息，其中图像信息包括已经分类的图像，已经分类的图像的网络位置和包含已经分类的图像的文档中的至少一个。搜索数据库以匹配输入查询的图像，包括例如图像，文本或两者。

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