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公开(公告)号：US10545919B2
公开(公告)日：2020-01-28
申请号：US15023226
申请日：2013-09-27
Applicant: Google Inc.
Inventor： Shuchang Zhou , Liyong Chen
Abstract: Original data that represents a real-world object or activity and organized along three or more dimensions is received. The original data is represented as a product of several multipliers including a sparse core, such that the sparse core has fewer non-zero values than a tensor representation of the original data, and one or more unitary matrix multipliers. Modified data is generated based on the original data using the multipliers. This includes compressing, or reconstructing missing elements in, the tensor representation of the original data, such that the modified data provides a description of the real-world object or activity that is less complete or more complete, respectively, relative to the original data.
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2.发明申请TECHNIQUES FOR DETECTING DECEPTIVE ANSWERS TO USER QUESTIONS BASED ON USER PREFERENCE RELATIONSHIPS 有权基于用户偏好关系检测用户问题的解答答案的技术公开(公告)号：US20150161513A1
公开(公告)日：2015-06-11
申请号：US14100523
申请日：2013-12-09
Applicant: Google Inc.
Inventor： Fangtao Li , Shuchang Zhou
Abstract: A computer-implemented method can include receiving, at a computing device having one or more processors, questions and answers, each question having one or more answers, and each question and each answer being associated with a particular user. The method can include receiving, at the computing device, evaluations of the answers from users. The method can include identifying, at the computing device, at least one of textual and contextual features for each answer to obtain sets of features. The method can include generating, at the computing device, a user preference graph indicating relationships between users associated with at least one of the questions, the answers, and the evaluations. The method can also include detecting, at the computing device, whether each specific answer is a deceptive answer based on its set of features and the user preference graph.
Abstract translation: 计算机实现的方法可以包括在具有一个或多个处理器的计算设备处接收问题和答案，每个问题具有一个或多个答案，并且每个问题和每个答案与特定用户相关联。 该方法可以包括在计算设备处接收来自用户的答案的评估。 该方法可以包括在计算设备处识别每个答案的文本和上下文特征中的至少一个以获得特征集合。 该方法可以包括在计算设备处生成指示与至少一个问题，答案和评估相关联的用户之间的关系的用户偏好图。 该方法还可以包括在计算设备处检测每个特定答案是否是基于其特征集合和用户偏好图的欺骗性答案。
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公开(公告)号：US09046996B2
公开(公告)日：2015-06-02
申请号：US14056527
申请日：2013-10-17
Applicant: Google Inc.
Inventor： David Gallup , Liyong Chen , Shuchang Zhou , Steven Maxwell Seitz
IPC: G09G5/10 , G06F3/0485
CPC classification number: G06F3/0485 , G06F3/04845
Abstract: Aspects of the disclosure relate generally to providing a user with an image navigation experience. In order to do so, a reference image may be identified. A set of potential target images for the reference image may also be identified. A drag vector for user input relative to the reference image is determined. For particular image of the set of target images an associated cost is determined based at least in part on a cost function and the drag vector. A target image is selected based on the determined associated costs.
Abstract translation: 本公开的方面通常涉及为用户提供图像导航体验。 为了这样做，可以识别参考图像。 还可以识别用于参考图像的一组潜在目标图像。 确定用于相对于参考图像的用户输入的拖动矢量。 对于目标图像集合的特定图像，至少部分地基于成本函数和拖动矢量确定相关联的成本。 基于确定的相关成本来选择目标图像。
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4.发明授权Techniques for detecting deceptive answers to user questions based on user preference relationships 有权基于用户偏好关系检测用户问题的欺骗性答案的技术公开(公告)号：US09514412B2
公开(公告)日：2016-12-06
申请号：US14100523
申请日：2013-12-09
Applicant: Google Inc.
Inventor： Fangtao Li , Shuchang Zhou
Abstract: A computer-implemented method can include receiving, at a computing device having one or more processors, questions and answers, each question having one or more answers, and each question and each answer being associated with a particular user. The method can include receiving, at the computing device, evaluations of the answers from users. The method can include identifying, at the computing device, at least one of textual and contextual features for each answer to obtain sets of features. The method can include generating, at the computing device, a user preference graph indicating relationships between users associated with at least one of the questions, the answers, and the evaluations. The method can also include detecting, at the computing device, whether each specific answer is a deceptive answer based on its set of features and the user preference graph.
Abstract translation: 计算机实现的方法可以包括在具有一个或多个处理器的计算设备处接收问题和答案，每个问题具有一个或多个答案，并且每个问题和每个答案与特定用户相关联。 该方法可以包括在计算设备处接收来自用户的答案的评估。 该方法可以包括在计算设备处识别每个答案的文本和上下文特征中的至少一个以获得特征集合。 该方法可以包括在计算设备处生成指示与至少一个问题，答案和评估相关联的用户之间的关系的用户偏好图。 该方法还可以包括在计算设备处检测每个特定答案是否是基于其特征集合和用户偏好图的欺骗性答案。
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公开(公告)号：US09107045B2
公开(公告)日：2015-08-11
申请号：US13937378
申请日：2013-07-09
Applicant: Google Inc.
Inventor： Shuchang Zhou , Anup Mantri
CPC classification number: H04W4/043 , G01S5/0242 , H04W16/20 , H04W24/02 , H04W64/003
Abstract: Aspects of the present disclosure provide techniques for detecting breaks in a wireless network data model. An exemplary method includes determining neighboring access points from scans of network access points in a space. Each neighboring access point occurs together in a scan of a particular level of the space. Wireless data is received from a plurality of mobile devices moving through a space. A set of all access points for the space is identified based on the wireless data. A ratio is derived based on a difference between the neighboring access points and the set of all access points. The ratio represents a percentage of missing access points for the particular level of the space.
Abstract translation: 本公开的方面提供了用于检测无线网络数据模型中的断点的技术。 一种示例性方法包括从空间中的网络接入点的扫描确定相邻接入点。 每个相邻接入点一起发生在特定级别的空间的扫描中。 从移动通过空间的多个移动设备接收无线数据。 基于无线数据识别空间的所有接入点的集合。 基于相邻接入点和所有接入点的集合之间的差异导出比率。 该比率表示特定级别的空间的缺失接入点的百分比。
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Patent Agency Ranking
6.发明申请公开(公告)号：US20150018003A1
公开(公告)日：2015-01-15
申请号：US13937378
申请日：2013-07-09
Applicant: Google Inc.
Inventor： Shuchang Zhou , Anup Mantri
IPC: H04W4/04
CPC classification number: H04W4/043 , G01S5/0242 , H04W16/20 , H04W24/02 , H04W64/003
Abstract: Aspects of the present disclosure provide techniques for detecting breaks in a wireless network data model. An exemplary method includes determining neighboring access points from scans of network access points in a space. Each neighboring access point occurs together in a scan of a particular level of the space. Wireless data is received from a plurality of mobile devices moving through a space. A set of all access points for the space is identified based on the wireless data. A ratio is derived based on a difference between the neighboring access points and the set of all access points. The ratio represents a percentage of missing access points for the particular level of the space.
Abstract translation: 本公开的方面提供了用于检测无线网络数据模型中的断点的技术。 一种示例性方法包括从空间中的网络接入点的扫描确定相邻接入点。 每个相邻接入点一起发生在特定级别的空间的扫描中。 从移动通过空间的多个移动设备接收无线数据。 基于无线数据识别空间的所有接入点的集合。 基于相邻接入点和所有接入点的集合之间的差异导出比率。 该比率表示特定级别的空间的缺失接入点的百分比。
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公开(公告)号：US20170154233A1
公开(公告)日：2017-06-01
申请号：US14761200
申请日：2014-08-18
Applicant: GOOGLE INC.
Inventor： Andrew Gallagher , Shuchang Zhou , Zhiheng Wang
CPC classification number: G06K9/3208 , G01C17/34 , G06K9/00697 , G06K9/3275 , G06K9/4604 , G06T7/73 , G06T2207/10004 , G06T2207/30244
Abstract: The orientation of imagery relative to a compass bearing may be determined based on the position of the sun or other information relating to celestial bodies captured in the image.
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公开(公告)号：US20160232175A1
公开(公告)日：2016-08-11
申请号：US15023226
申请日：2013-09-27
Applicant: Shuchang ZHOU , GOOGLE INC.
Inventor： Shuchang Zhou , Liyong Chen
Abstract: Original data that represents a real-world object or activity and organized along three or more dimensions is received. The original data is represented as a product of several multipliers including a sparse core, such that the sparse core has fewer non-zero values than a tensor representation of the original data, and one or more unitary matrix multipliers. Modified data is generated based on the original data using the multipliers. This includes compressing, or reconstructing missing elements in, the tensor representation of the original data, such that the modified data provides a description of the real-world object or activity that is less complete or more complete, respectively, relative to the original data.
Abstract translation: 接收代表真实世界对象或活动并按三维或更多维度组织的原始数据。 原始数据被表示为包括稀疏核心的几个乘法器的乘积，使得稀疏核心具有比原始数据的张量表示更少的非零值以及一个或多个单位矩阵乘法器。 基于使用乘法器的原始数据生成修改数据。 这包括压缩或重建原始数据的张量表示中的丢失元素，使得修改的数据相对于原始数据分别提供不完整或更完整的真实世界对象或活动的描述。
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公开(公告)号：US20150153171A1
公开(公告)日：2015-06-04
申请号：US13796983
申请日：2013-03-12
Applicant: Google Inc.
Inventor： Shuchang Zhou , Edward Y. Chang
IPC: G01C5/06
CPC classification number: G01C5/06 , G06F2200/1637
Abstract: Disclosed here are methods and systems that relate to determining an orientation of an object. The orientation of the object may be represented by an Euler angle which identifies a rotation of the object from a reference frame. The methods and systems may rely on readings collected from two or more barometric pressure sensors to estimate an altitude difference between the pressure sensors. The methods and systems may calculate the Euler angle based on the altitude difference.
Abstract translation: 这里公开的是与确定物体的取向有关的方法和系统。 对象的取向可以由标识对象从参考框架的旋转的欧拉角表示。 方法和系统可以依赖于从两个或更多个气压传感器收集的读数来估计压力传感器之间的高度差。 方法和系统可以基于高度差来计算欧拉角。
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公开(公告)号：US20150113474A1
公开(公告)日：2015-04-23
申请号：US14056527
申请日：2013-10-17
Applicant: GOOGLE INC.
Inventor： David Gallup , Liyong Chen , Shuchang Zhou , Steven Maxwell Seitz
IPC: G06F3/0485
CPC classification number: G06F3/0485 , G06F3/04845
Abstract: Aspects of the disclosure relate generally to providing a user with an image navigation experience. In order to do so, a reference image may be identified. A set of potential target images for the reference image may also be identified. A drag vector for user input relative to the reference image is determined. For particular image of the set of target images an associated cost is determined based at least in part on a cost function and the drag vector. A target image is selected based on the determined associated costs.
Abstract translation: 本公开的方面通常涉及为用户提供图像导航体验。 为了这样做，可以识别参考图像。 还可以识别用于参考图像的一组潜在目标图像。 确定用于相对于参考图像的用户输入的拖动矢量。 对于目标图像集合的特定图像，至少部分地基于成本函数和拖动矢量确定相关联的成本。 基于确定的相关成本来选择目标图像。
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