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1. 发明申请

US20110071965A1 SYSTEM AND METHOD FOR CROSS DOMAIN LEARNING FOR DATA AUGMENTATION 有权
标题翻译：用于数据接收的跨域学习的系统和方法
公开(公告)号：US20110071965A1
公开(公告)日：2011-03-24
申请号：US12566270
申请日：2009-09-24
申请人： Bo Long , Belle Tseng , Sudarshan Lamkhede , Srinivas Vadrevu , Anne Ya Zhang
发明人： Bo Long , Belle Tseng , Sudarshan Lamkhede , Srinivas Vadrevu , Anne Ya Zhang
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06N99/005 , H04L51/12
摘要： According to an example embodiment, a method comprises executing instructions by a special purpose computing apparatus to, for labeled source domain data having a plurality of original labels, generate a plurality of first predicted labels for the labeled source domain data using a target function, the target function determined by using a plurality of labels from labeled target domain data. The method further comprises executing instructions by the special purpose computing apparatus to apply a label relation function to the first predicted labels for the source domain data and the original labels for the source domain data to determine a plurality of weighting factors for the labeled source domain data. The method further comprises executing instructions by the special purpose computing apparatus to generate a new target function using the labeled target domain data, the labeled source domain data, and the weighting factors for the labeled source domain data, and evaluate a performance of the new target function to determine if there is a convergence.
摘要翻译：根据示例性实施例，一种方法包括执行专用计算装置的指令，对于具有多个原始标签的标记源域数据，使用目标函数为标记的源域数据生成多个第一预测标签，通过使用来自标记的目标域数据的多个标签确定目标函数。该方法还包括由专用计算装置执行指令以对源域数据的第一预测标签和源域数据的原始标签应用标签关系函数，以确定用于标记的源域数据的多个权重因子。该方法还包括执行专用计算装置的指令，以使用标记的目标域数据，标记的源域数据和标记的源域数据的加权因子来生成新的目标函数，并评估新目标的性能确定是否存在收敛的功能。

2. 发明授权

US08332334B2 System and method for cross domain learning for data augmentation 有权
标题翻译：用于数据增强的跨域学习的系统和方法
公开(公告)号：US08332334B2
公开(公告)日：2012-12-11
申请号：US12566270
申请日：2009-09-24
申请人： Bo Long , Belle Tseng , Sudarshan Lamkhede , Srinivas Vadrevu , Ya Zhang
发明人： Bo Long , Belle Tseng , Sudarshan Lamkhede , Srinivas Vadrevu , Ya Zhang
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , H04L51/12
摘要： According to an example embodiment, a method comprises executing instructions by a special purpose computing apparatus to, for labeled source domain data having a plurality of original labels, generate a plurality of first predicted labels for the labeled source domain data using a target function, the target function determined by using a plurality of labels from labeled target domain data. The method further comprises executing instructions by the special purpose computing apparatus to apply a label relation function to the first predicted labels for the source domain data and the original labels for the source domain data to determine a plurality of weighting factors for the labeled source domain data. The method further comprises executing instructions by the special purpose computing apparatus to generate a new target function using the labeled target domain data, the labeled source domain data, and the weighting factors for the labeled source domain data, and evaluate a performance of the new target function to determine if there is a convergence.
摘要翻译：根据示例性实施例，一种方法包括执行专用计算装置的指令，对于具有多个原始标签的标记源域数据，使用目标函数为标记的源域数据生成多个第一预测标签，通过使用来自标记的目标域数据的多个标签确定目标函数。该方法还包括由专用计算装置执行指令以对源域数据的第一预测标签和源域数据的原始标签应用标签关系函数，以确定用于标记的源域数据的多个权重因子。该方法还包括执行专用计算装置的指令，以使用标记的目标域数据，标记的源域数据和标记的源域数据的加权因子来生成新的目标函数，并评估新目标的性能确定是否存在收敛的功能。

3. 发明申请

US20090307198A1 IDENTIFYING REGIONAL SENSITIVE QUERIES IN WEB SEARCH 有权
标题翻译：识别网络搜索中的区域敏感性查询
公开(公告)号：US20090307198A1
公开(公告)日：2009-12-10
申请号：US12136279
申请日：2008-06-10
申请人： Ya Zhang , Srinivas Vadrevu , Belle Tseng , Gordon Guo-Zheng Sun , Xin Li
发明人： Ya Zhang , Srinivas Vadrevu , Belle Tseng , Gordon Guo-Zheng Sun , Xin Li
IPC分类号： G06F17/30
CPC分类号： G06F17/3087
摘要： A system for determining the intent of query that includes a search engine that receives a first search query, a query/click log module configured to store log data associated with the first search query; and a computational module that generates metric values associated with the first search query based on the log data and that determines that the first search query is one of a regional specific query or a global query based on the metric values, where the metric values reflect a likelihood of local intent of the first search query, and where the search engine provides search results selected in part based on the metric values.
摘要翻译：一种用于确定查询意图的系统，包括接收第一搜索查询的搜索引擎，被配置为存储与第一搜索查询相关联的日志数据的查询/点击日志模块; 以及计算模块，其基于所述日志数据生成与所述第一搜索查询相关联的度量值，并且基于所述度量值确定所述第一搜索查询是区域特定查询或全局查询之一，其中所述度量值反映第一搜索查询的本地意图的可能性，以及搜索引擎提供基于度量值部分地选择的搜索结果的位置。

4. 发明授权

US07949672B2 Identifying regional sensitive queries in web search 有权
标题翻译：识别网络搜索中的区域敏感查询
公开(公告)号：US07949672B2
公开(公告)日：2011-05-24
申请号：US12136279
申请日：2008-06-10
申请人： Ya Zhang , Srinivas Vadrevu , Belle Tseng , Gordon Guo-Zheng Sun , Xin Li
发明人： Ya Zhang , Srinivas Vadrevu , Belle Tseng , Gordon Guo-Zheng Sun , Xin Li
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3087
摘要： A system for determining the intent of query that includes a search engine that receives a first search query, a query/click log module configured to store log data associated with the first search query; and a computational module that generates metric values associated with the first search query based on the log data and that determines that the first search query is one of a regional specific query or a global query based on the metric values, where the metric values reflect a likelihood of local intent of the first search query, and where the search engine provides search results selected in part based on the metric values.
摘要翻译：一种用于确定查询意图的系统，包括接收第一搜索查询的搜索引擎，被配置为存储与第一搜索查询相关联的日志数据的查询/点击日志模块; 以及计算模块，其基于所述日志数据生成与所述第一搜索查询相关联的度量值，并且基于所述度量值确定所述第一搜索查询是区域特定查询或全局查询之一，其中所述度量值反映第一搜索查询的本地意图的可能性，以及搜索引擎提供基于度量值部分地选择的搜索结果的位置。

5. 发明申请

US20100325129A1 DETERMINING THE GEOGRAPHIC SCOPE OF WEB RESOURCES USING USER CLICK DATA 审中-公开
标题翻译：使用用户点击数据确定网页资源的地理范围
公开(公告)号：US20100325129A1
公开(公告)日：2010-12-23
申请号：US12488134
申请日：2009-06-19
申请人： Rajat Ahuja , Shanmugasundaram Ravikumar , Tamas Sarlos , Dungjit Shiowattana , Ching--Fong Su , Belle Tseng , Srinivas Vadrevu
发明人： Rajat Ahuja , Shanmugasundaram Ravikumar , Tamas Sarlos , Dungjit Shiowattana , Ching--Fong Su , Belle Tseng , Srinivas Vadrevu
IPC分类号： G06F17/30
CPC分类号： G06F16/9535 , G06F16/9537
摘要： A geographic region is automatically determined for an Internet resource based on information that has been gathered over time through the automatic monitoring of certain “click” activities of Internet search engine-using users. Over time, the search engine collects information for each click. Using this click-related data, the search engine estimates the geographic region with which the resource ought to be associated. The fact that a significant proportion of clicks on a resource's hyperlink are clicks that “came through” a search engine portal that is associated with a geographic region tends to suggest that the resource ought to be associated with that geographic region. Similarly, the fact that a significant proportion of clicks on a resource's hyperlink are clicks that were made by users whose computers have IP addresses that are associated with a geographic region tends to suggest that the resource ought to be associated with that geographic region.
摘要翻译：基于使用互联网搜索引擎的用户的某些“点击”活动的自动监视，基于随时间而收集的信息，自动确定地理区域。随着时间的推移，搜索引擎会收集每次点击的信息。使用该点击相关数据，搜索引擎估计资源应与之关联的地理区域。事实上，资源超链接的大量点击是通过与地理区域相关联的搜索引擎门户“点击”的点击倾向于表明资源应该与该地理区域相关联。类似地，资源超链接的大部分点击是由计算机具有与地理区域相关联的IP地址的用户进行的点击的事实倾向于表明该资源应该与该地理区域相关联。

6. 发明授权

US09519682B1 User trustworthiness 有权
标题翻译：用户可信赖性
公开(公告)号：US09519682B1
公开(公告)日：2016-12-13
申请号：US13117037
申请日：2011-05-26
申请人： Jay Pujara , Vishwanath Tumkur Ramarao , Xiaopeng Xi , Martin Zinkevich , Anirban Dasgupta , Belle Tseng , Wei Chu , Jyh-Shin Gareth Shue
发明人： Jay Pujara , Vishwanath Tumkur Ramarao , Xiaopeng Xi , Martin Zinkevich , Anirban Dasgupta , Belle Tseng , Wei Chu , Jyh-Shin Gareth Shue
IPC分类号： G06F11/00 , G06F17/30 , G06Q10/10 , H04H20/28 , H04H60/82 , G06F12/14
CPC分类号： G06F17/3053 , G06Q10/10 , H04H20/28 , H04H60/82
摘要： Embodiments are directed towards generating a unified user account trustworthiness system through user account trustworthiness scores. A trusted group of user accounts may be identified for a given action by grouping a plurality of user accounts into tiers based on a trustworthiness score of each user account for the given action. The tiers and/or trustworthiness scores may be employed to classify an item, such as a message as spam or non-spam, based on input from the user accounts. The trustworthiness scores may also be employed to determine if a user account is a robot account or a human account. The trusted group for a given action may dynamically evolve over time by regrouping the user accounts based on modified trustworthiness scores. A trustworthiness score of an individual user account may be modified based on input received from the individual user account and input from other user accounts.
摘要翻译：实施例旨在通过用户帐户可信度得分来生成统一的用户帐户可信赖性系统。可以基于针对给定动作的每个用户帐户的可信度分数将多个用户帐户分组成层，可以为给定动作识别可信赖的用户帐户组。层级和/或可信赖性分数可以用于基于来自用户帐户的输入来将项目（诸如作为垃圾邮件或非垃圾邮件）的消息分类。还可以使用可信度分数来确定用户帐户是机器人帐户还是人类账户。给定动作的受信任组可以通过基于修改的可信度得分重新分组用户账户而随着时间的推移而动态演变。可以基于从单个用户帐户接收的输入和来自其他用户帐户的输入来修改个人用户帐户的可信度分数。

7. 发明申请

US20130148880A1 Image Cropping Using Supervised Learning 有权
标题翻译：使用监督学习的图像裁剪
公开(公告)号：US20130148880A1
公开(公告)日：2013-06-13
申请号：US13315066
申请日：2011-12-08
申请人： Lyndon Kennedy , Roelof van Zwol , Nicolas Torzec , Belle Tseng
发明人： Lyndon Kennedy , Roelof van Zwol , Nicolas Torzec , Belle Tseng
IPC分类号： G06K9/62
CPC分类号： G06K9/00711 , G06K9/00228 , G06K9/46 , G06K9/4671 , G06K9/52 , G06K9/62 , G06K9/6201 , G06K2009/4666 , G06T3/40 , G06T11/60
摘要： Software for supervised learning extracts a set of pixel-level features from each source image in collection of source images. Each of the source images is associated with a thumbnail created by an editor. The software also generates a collection of unique bounding boxes for each source image. And the software calculates a set of region-level features for each bounding box. Each region-level feature results from the aggregation of pixel values for one of the pixel-level features. The software learns a regression model, using the calculated region-level features and the thumbnail associated with the source image. Then the software chooses a thumbnail from a collection of unique bounding boxes in a new image, based on application of the regression model.
摘要翻译：用于监督学习的软件在收集源图像时从每个源图像中提取一组像素级特征。每个源图像与由编辑器创建的缩略图相关联。该软件还为每个源图像生成一组独特的边界框。并且软件为每个边界框计算一组区域级别的功能。每个区域级别的特征来自于像素级特征之一的像素值的聚合。该软件学习回归模型，使用计算的区域级功能和与源图像相关联的缩略图。然后，软件根据回归模型的应用，从新图像中的独特边界框的集合中选择一个缩略图。

8. 发明申请

US20130097005A1 ONLINE TECHNIQUES FOR SELLING GROUP COMBO COUPONS 审中-公开
标题翻译：在线技术销售集团组合
公开(公告)号：US20130097005A1
公开(公告)日：2013-04-18
申请号：US13271935
申请日：2011-10-12
申请人： Jie Yang , Liang Zhang , Belle Tseng
发明人： Jie Yang , Liang Zhang , Belle Tseng
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0207 , G06Q30/0605
摘要： Techniques for providing group discounts are described. A group discount package is configured by associating a plurality of different items with the package, associating a discount price with each item, and associating a threshold value with at least one item. One or more actions that have corresponding threshold values may also be associated with the package. The group discount package may be offered by enabling users to request to purchase items associated with the package. Each user may request to purchase one or more of the items associated with the package at the associated discount price. Furthermore, the users may be enabled to perform any actions associated with the package. A deal with the package is confirmed when each associated threshold value is met.
摘要翻译：描述了提供组折扣的技术。组合折扣包通过将多个不同的项目与包裹相关联，将折扣价格与每个项目相关联，以及将阈值与至少一个项目相关联来配置。具有相应阈值的一个或多个动作也可以与包相关联。可以通过使用户能够请求购买与包相关的商品来提供组折扣包。每个用户可以请求以相关联的折扣价格购买与包裹相关联的一个或多个物品。此外，可以使用户能够执行与包相关联的任何动作。当满足每个相关联的阈值时，确认包裹的处理。

9. 发明授权

US08955044B2 Time managed challenge-response test 有权
标题翻译：时间管理挑战 - 响应测试
公开(公告)号：US08955044B2
公开(公告)日：2015-02-10
申请号：US12897615
申请日：2010-10-04
申请人： Kunal Punera , Shanmugasundaram Ravikumar , Anirban Dasgupta , Belle Tseng , Hung-Kuo (James) Chu
发明人： Kunal Punera , Shanmugasundaram Ravikumar , Anirban Dasgupta , Belle Tseng , Hung-Kuo (James) Chu
IPC分类号： G06F21/00 , H04L9/32
CPC分类号： H04L9/3271
摘要： A method of generating a time managed challenge-response test is presented. The method identifies a geometric shape having a volume and generates an entry object of the time managed challenge-response test. The entry object is overlaid onto the geometric shape, such that the entry object is distributed over a surface of the geometric shape, and a portion of the entry object is hidden at any point in time. The geometric shape is rotated, which reveals the portion of the entry object that is hidden. A display region on a display is identified for rendering the geometric shape and the geometric shape is presented in the display region of the display.
摘要翻译：提出了一种生成时间管理的挑战 - 响应测试的方法。该方法识别具有卷的几何形状并生成时间管理的挑战 - 响应测试的条目对象。入口对象覆盖在几何形状上，使得入口对象分布在几何形状的表面上，并且入口对象的一部分在任何时间点被隐藏。几何形状被旋转，这显示了隐藏的条目对象的部分。识别显示器上的显示区域以呈现几何形状，并且在显示器的显示区域中呈现几何形状。

10. 发明授权

US08938116B2 Image cropping using supervised learning 有权
标题翻译：使用监督学习的图像裁剪
公开(公告)号：US08938116B2
公开(公告)日：2015-01-20
申请号：US13315066
申请日：2011-12-08
申请人： Lyndon Kennedy , Roelof van Zwol , Nicolas Torzec , Belle Tseng
发明人： Lyndon Kennedy , Roelof van Zwol , Nicolas Torzec , Belle Tseng
IPC分类号： G06K9/62
CPC分类号： G06K9/00711 , G06K9/00228 , G06K9/46 , G06K9/4671 , G06K9/52 , G06K9/62 , G06K9/6201 , G06K2009/4666 , G06T3/40 , G06T11/60
摘要： Software for supervised learning extracts a set of pixel-level features from each source image in collection of source images. Each of the source images is associated with a thumbnail created by an editor. The software also generates a collection of unique bounding boxes for each source image. And the software calculates a set of region-level features for each bounding box. Each region-level feature results from the aggregation of pixel values for one of the pixel-level features. The software learns a regression model, using the calculated region-level features and the thumbnail associated with the source image. Then the software chooses a thumbnail from a collection of unique bounding boxes in a new image, based on application of the regression model.
摘要翻译：用于监督学习的软件在收集源图像时从每个源图像中提取一组像素级特征。每个源图像与由编辑器创建的缩略图相关联。该软件还为每个源图像生成一组独特的边界框。并且软件为每个边界框计算一组区域级别的功能。每个区域级别的特征来自于像素级特征之一的像素值的聚合。该软件学习回归模型，使用计算的区域级功能和与源图像相关联的缩略图。然后，软件根据回归模型的应用，从新图像中的独特边界框的集合中选择一个缩略图。

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