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1. 发明申请

US20120179634A1 SYSTEM AND METHODS FOR FINDING HIDDEN TOPICS OF DOCUMENTS AND PREFERENCE RANKING DOCUMENTS 有权
标题翻译：发现隐藏文件主题和偏好排序文件的系统和方法
公开(公告)号：US20120179634A1
公开(公告)日：2012-07-12
申请号：US13083402
申请日：2011-04-08
申请人： Xi Chen , Yaonjun Qi , Bing Bai
发明人： Xi Chen , Yaonjun Qi , Bing Bai
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06F17/30705
摘要： Systems and methods are disclosed to perform preference learning on a set of documents includes receiving raw input features from the set of documents stored on a data storage device; generating polynomial combinations from the raw input features; generating one or more parameters; applying the parameters to one or more classifiers to generate outputs; determining a loss function and parameter gradients and updating parameters determining one or more sparse regularizing terms and updating the parameters; and expressing that one document is preferred over another in a search query and retrieving one or more documents responsive to the search query.
摘要翻译：公开了系统和方法来对一组文件执行偏好学习，包括从存储在数据存储设备上的文档集接收原始输入特征; 从原始输入特征生成多项式组合; 产生一个或多个参数; 将参数应用于一个或多个分类器以产生输出; 确定损失函数和参数梯度以及更新确定一个或多个稀疏规则化条件并更新参数的参数; 并且在搜索查询中表达一个文档优于另一个文档，并且响应于搜索查询来检索一个或多个文档。

2. 发明授权

US08738547B2 System and methods for finding hidden topics of documents and preference ranking documents 有权
标题翻译：查找文档隐藏主题和偏好排序文件的系统和方法
公开(公告)号：US08738547B2
公开(公告)日：2014-05-27
申请号：US13083391
申请日：2011-04-08
申请人： Xi Chen , Yanjun Qi , Bing Bai
发明人： Xi Chen , Yanjun Qi , Bing Bai
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G06F17/30705
摘要： Systems and methods are disclosed to perform preference learning on a set of documents includes receiving raw input features from the set of documents stored on a data storage device; generating polynomial combinations from the raw input features; generating one or more parameters; applying the parameters to one or more classifiers to generate outputs; determining a loss function and parameter gradients and updating parameters determining one or more sparse regularizing terms and updating the parameters; and expressing that one document is preferred over another in a search query and retrieving one or more documents responsive to the search query.
摘要翻译：公开了系统和方法来对一组文件执行偏好学习，包括从存储在数据存储设备上的文档集接收原始输入特征; 从原始输入特征生成多项式组合; 产生一个或多个参数; 将参数应用于一个或多个分类器以产生输出; 确定损失函数和参数梯度以及更新确定一个或多个稀疏规则化条件并更新参数的参数; 并且在搜索查询中表达一个文档优于另一个文档，并且响应于搜索查询来检索一个或多个文档。

3. 发明申请

US20120191632A1 SYSTEM AND METHODS FOR FINDING HIDDEN TOPICS OF DOCUMENTS AND PREFERENCE RANKING DOCUMENTS 有权
公开(公告)号：US20120191632A1
公开(公告)日：2012-07-26
申请号：US13083391
申请日：2011-04-08
申请人： Xi Chen , Yanjun Qi , Bing Bai
发明人： Xi Chen , Yanjun Qi , Bing Bai
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06F17/30705
摘要： Systems and methods are disclosed to perform preference learning on a set of documents includes receiving raw input features from the set of documents stored on a data storage device; generating polynomial combinations from the raw input features; generating one or more parameters; applying the parameters to one or more classifiers to generate outputs; determining a loss function and parameter gradients and updating parameters determining one or more sparse regularizing terms and updating the parameters; and expressing that one document is preferred over another in a search query and retrieving one or more documents responsive to the search query.

4. 发明授权

US08612369B2 System and methods for finding hidden topics of documents and preference ranking documents 有权
标题翻译：查找文档隐藏主题和偏好排序文件的系统和方法
公开(公告)号：US08612369B2
公开(公告)日：2013-12-17
申请号：US13083402
申请日：2011-04-08
申请人： Xi Chen , Yanjun Qi , Bing Bai
发明人： Xi Chen , Yanjun Qi , Bing Bai
IPC分类号： G06N5/00
CPC分类号： G06N99/005 , G06F17/30705
摘要： Systems and methods are disclosed to perform preference learning on a set of documents includes receiving raw input features from the set of documents stored on a data storage device; generating polynomial combinations from the raw input features; generating one or more parameters; applying the parameters to one or more classifiers to generate outputs; determining a loss function and parameter gradients and updating parameters determining one or more sparse regularizing terms and updating the parameters; and expressing that one document is preferred over another in a search query and retrieving one or more documents responsive to the search query.
摘要翻译：公开了系统和方法来对一组文件执行偏好学习，包括从存储在数据存储设备上的文档集接收原始输入特征; 从原始输入特征生成多项式组合; 产生一个或多个参数; 将参数应用于一个或多个分类器以产生输出; 确定损失函数和参数梯度以及更新确定一个或多个稀疏规则化条件并更新参数的参数; 并且在搜索查询中表达一个文档优于另一个文档，并且响应于搜索查询来检索一个或多个文档。

5. 发明授权

US08521662B2 System and methods for finding hidden topics of documents and preference ranking documents 有权
公开(公告)号：US08521662B2
公开(公告)日：2013-08-27
申请号：US13078984
申请日：2011-04-03
申请人： Xi Chen , Yanjun Qi , Bing Bai
发明人： Xi Chen , Yanjun Qi , Bing Bai
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06F17/30705
摘要： Systems and methods are disclosed to perform preference learning on a set of documents includes receiving raw input features from the set of documents stored on a data storage device; generating polynomial combinations from the raw input features; generating one or more parameters; applying the parameters to one or more classifiers to generate outputs; determining a loss function and parameter gradients and updating parameters determining one or more sparse regularizing terms and updating the parameters; and expressing that one document is preferred over another in a search query and retrieving one or more documents responsive to the search query.

6. 发明申请

US20120323825A1 SYSTEM AND METHODS FOR FINDING HIDDEN TOPICS OF DOCUMENTS AND PREFERENCE RANKING DOCUMENTS 有权
公开(公告)号：US20120323825A1
公开(公告)日：2012-12-20
申请号：US13078984
申请日：2011-04-03
申请人： Xi Chen , Yanjun Qi , Bing Bai
发明人： Xi Chen , Yanjun Qi , Bing Bai
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06F17/30705
摘要： Systems and methods are disclosed to perform preference learning on a set of documents includes receiving raw input features from the set of documents stored on a data storage device; generating polynomial combinations from the raw input features; generating one or more parameters; applying the parameters to one or more classifiers to generate outputs; determining a loss function and parameter gradients and updating parameters determining one or more sparse regularizing terms and updating the parameters; and expressing that one document is preferred over another in a search query and retrieving one or more documents responsive to the search query.

7. 发明授权

US08392436B2 Semantic search via role labeling 有权
标题翻译：通过角色标注进行语义搜索
公开(公告)号：US08392436B2
公开(公告)日：2013-03-05
申请号：US12364041
申请日：2009-02-02
申请人： Bing Bai , Jason Weston , Ronan Collobert
发明人： Bing Bai , Jason Weston , Ronan Collobert
IPC分类号： G06F7/00 , G06F17/00
CPC分类号： G06F17/30654
摘要： A method and system for searching for information contained in a database of documents each includes an offline part and an online part. The offline part includes predicting, in a first computer process, semantic data for sentences of the documents contained in the database and storing this data in a database. The online part includes querying the database for information with a semantically-sensitive query, predicting, in a real time computer process, semantic data for the query, and determining, in a second computer process, a matching score against all the documents in the database, which incorporates the semantic data for the sentences and the query.
摘要翻译：用于搜索包含在文档数据库中的信息的方法和系统各自包括离线部分和在线部分。离线部分包括在第一计算机进程中预测包含在数据库中的文档的句子的语义数据，并将该数据存储在数据库中。在线部分包括使用语义敏感的查询来查询数据库的信息，在实时计算机进程中预测用于查询的语义数据，以及在第二计算机进程中确定与数据库中的所有文档的匹配分数，其中包含句子和查询的语义数据。

8. 发明申请

US20150363948A1 Direct Patlak Estimation from List-Mode PET Data 有权
标题翻译：从列表模式PET数据直接Patlak估计
公开(公告)号：US20150363948A1
公开(公告)日：2015-12-17
申请号：US14739929
申请日：2015-06-15
申请人： Richard M. Leahy , Wentao Zhu , Quanzheng Li , Bing Bai , Peter Stephen Conti
发明人： Richard M. Leahy , Wentao Zhu , Quanzheng Li , Bing Bai , Peter Stephen Conti
IPC分类号： G06T11/00 , A61B6/00 , A61B6/04 , G06T7/00 , A61B6/03
CPC分类号： A61B6/5205 , A61B6/037 , A61B6/0457 , A61B6/4258 , A61B6/4275 , A61B6/504 , A61B6/507 , G06T11/006 , G06T2207/10104 , G06T2211/412 , G06T2211/424
摘要： A medical imaging system for reconstructing quantitative dynamic nuclear medicine images of a subject may include a three dimensional positron emission tomography (3D PET) scanner and a data processing system. The three dimensional positron emission tomography (3D PET) scanner may: perform scans of the subject at each of multiple bed positions, each scan being of only a sub-portion of the subject that is within an axial length covered by the scanner; and generate dynamic list-mode PET data that: represents a total number of photon pairs arriving at each of multiple detector pairs in the 3D PET scanner; and is organized in a list of elements, each element in the list including a detector pair index and an arrival time for each detected photon pair; and acquires PET data using a dynamic PET protocol with at least two scans at each of the multiple bed positions. The data processing system may: reconstruct Patlak slope and intercept images of the subject over an axial length of the subject that exceeds the axial length of each scan of the subject by optimizing a likelihood or penalized likelihood function using the list-mode PET data from at least two scans of the subject at each of the multiple bed positions; and store the reconstructed image in a storage device or displays the reconstructed image on a display system.
摘要翻译：用于重建受试者的定量动态核医学图像的医学成像系统可以包括三维正电子发射断层摄影（3D PET）扫描仪和数据处理系统。三维正电子发射断层摄影（3D PET）扫描器可以：在多个床位置的每一个位置执行被检体的扫描，每个扫描仅是被扫描仪所覆盖的轴向长度内的被检体的子部分; 并生成动态列表模式PET数据，其表示到达3D PET扫描仪中的多个检测器对中的每一个的光子对的总数; 并且被组织在元素列表中，列表中的每个元素包括每个检测到的光子对的检测器对索引和到达时间; 并且使用动态PET协议在多个床位置的每一个处进行至少两次扫描来获取PET数据。数据处理系统可以：通过使用来自对象的列表模式PET数据优化似然或惩罚似然函数来重建Patlak斜率并且通过超过受试者的每次扫描的轴向长度的主体的轴向长度截取受试者的图像在多个床位置的每个位置处对象的至少两次扫描; 并将重建的图像存储在存储装置中，或者将重建的图像显示在显示系统上。

9. 发明授权

US08874432B2 Systems and methods for semi-supervised relationship extraction 有权
标题翻译：半监督关系提取的系统和方法
公开(公告)号：US08874432B2
公开(公告)日：2014-10-28
申请号：US13078985
申请日：2011-04-03
申请人： Yanjun Qi , Bing Bai , Xia Ning , Pavel Kuksa
发明人： Yanjun Qi , Bing Bai , Xia Ning , Pavel Kuksa
IPC分类号： G06F17/27 , G06F17/30
CPC分类号： G06F17/2785 , G06F17/271 , G06F17/30684
摘要： Systems and methods are disclosed to perform relation extraction in text by applying a convolution strategy to determine a kernel between sentences; applying one or more semi-supervised strategies to the kernel to encode syntactic and semantic information to recover a relational pattern of interest; and applying a classifier to the kernel to identify the relational pattern of interest in the text in response to a query.
摘要翻译：公开了系统和方法，通过应用卷积策略来确定句子之间的内核来执行文本中的关系提取; 对内核应用一个或多个半监督策略来编码句法和语义信息以恢复关注模式; 以及将分类器应用于内核以在响应于查询的情况下识别文本中感兴趣的关系模式。

10. 发明申请

US20130069446A1 WIRELESS ELECTRIC POWER RECEIVING DEVICE AND WIRELESS ELECTRIC POWER TRANSMISSION SYSTEM 审中-公开
标题翻译：无线电力接收装置和无线电力传输系统
公开(公告)号：US20130069446A1
公开(公告)日：2013-03-21
申请号：US13701484
申请日：2010-12-23
申请人： Bing Bai , Chao Liu , Yilong Xu
发明人： Bing Bai , Chao Liu , Yilong Xu
IPC分类号： H02J17/00
CPC分类号： H02J50/10 , H02H3/207 , H02J5/005
摘要： A wireless electric power receiving device and a wireless electric power transmission system are disclosed. The wireless electric power receiving device is coupled to a wireless electric power transmitting device, and comprises a receiving coil, a power supply circuit and an alarm unit. When the receiving coil is coupled, a coupling voltage is generated and outputted. The power supply circuit comprises a first receiving terminal coupled to the receiving coil, and compares the voltage with a preset operation voltage range to generate and output a control signal when the voltage is beyond the range. The alarm unit is electrically coupled to the power supply circuit to receive the control signal from the power supply circuit and to output an alarm signal according to the control signal. The device can prevent a user from misusing a household appliance in case of a deficient voltage.
摘要翻译：公开了一种无线电力接收装置和无线电力传输系统。无线电力接收装置耦合到无线电力发送装置，并且包括接收线圈，电源电路和报警单元。当接收线圈耦合时，产生并输出耦合电压。电源电路包括耦合到接收线圈的第一接收端子，并将电压与预设的工作电压范围进行比较，以在电压超出该范围时产生并输出控制信号。报警单元电耦合到电源电路以接收来自电源电路的控制信号，并根据控制信号输出报警信号。该设备可以防止用户在电压不足的情况下误用家用电器。

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